Post-Doctoral Researcher in Cross-National Demography of Family Structure and Health - OPEN UNTIL FILLED
The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (University of Western Ontario), and other colleagues on a National Institute of Aging funded research grant. This position will be devoted to research related to patterns of family structure and population health in aging populations around the world. This position requires a Ph.D. or equivalent degree by the position start-date. The successful candidate will be encouraged to develop their own research program in addition to collaborating with the research team. A background in demography, sociology, economics, health sciences, gerontology, or statistics is preferred. We are especially interested in candidates who are strong writers and have expertise in survey methodology and data analysis, with proficiency in R and/or Stata. Experience working with a research team and knowledge of advanced demographic techniques is desired. We seek a candidate who is self-motivated, detail-oriented, responsible, team-oriented, and creative, with excellent interpersonal, written communication, and organizational skills. Please submit a brief cover letter describing relevant experience, a current curriculum vitae, and contact information (name, current position noscript, mailing address, telephone number, and e-mail address) for three professional references electronically. This is a one year fixed-term appointment with high likelihood of an additional year of funding. The position start date is flexible but is expected to begin between March 1, 2020 and September 1, 2020. Applicants who wish to work remotely will be considered. Review of applications begins on January 10, 2020 and will continue until the position is filled. Salary will be competitive and commensurate with experience; travel and research support is budgeted for the Postdoctoral Scholar to attend annual conferences, training workshops, and obtain necessary materials and software.
More information here.
✔️ @ApplyTime
The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (University of Western Ontario), and other colleagues on a National Institute of Aging funded research grant. This position will be devoted to research related to patterns of family structure and population health in aging populations around the world. This position requires a Ph.D. or equivalent degree by the position start-date. The successful candidate will be encouraged to develop their own research program in addition to collaborating with the research team. A background in demography, sociology, economics, health sciences, gerontology, or statistics is preferred. We are especially interested in candidates who are strong writers and have expertise in survey methodology and data analysis, with proficiency in R and/or Stata. Experience working with a research team and knowledge of advanced demographic techniques is desired. We seek a candidate who is self-motivated, detail-oriented, responsible, team-oriented, and creative, with excellent interpersonal, written communication, and organizational skills. Please submit a brief cover letter describing relevant experience, a current curriculum vitae, and contact information (name, current position noscript, mailing address, telephone number, and e-mail address) for three professional references electronically. This is a one year fixed-term appointment with high likelihood of an additional year of funding. The position start date is flexible but is expected to begin between March 1, 2020 and September 1, 2020. Applicants who wish to work remotely will be considered. Review of applications begins on January 10, 2020 and will continue until the position is filled. Salary will be competitive and commensurate with experience; travel and research support is budgeted for the Postdoctoral Scholar to attend annual conferences, training workshops, and obtain necessary materials and software.
More information here.
✔️ @ApplyTime
psu.jobs
Post-Doctoral Researcher in Cross-National Demography of Family Structure and Health
The Population Research Institute in the Social Science Research Institute at Penn State (University Park) seeks a qualified candidate to collaborate with Dr. Ashton Verdery, Dr. Rachel Margolis (Univ
PhD Position Biochemistry (Optogenetics)
We are currently seeking a talented PhD student to join our team at the Department of Biochemistry of the University of Bayreuth. We investigate sensory photoreceptors which enable the control by light of behaviour and physiology in Nature and optogenetics. We use an assortment of biochemical/biophysical techniques spanning molecular biology, protein biochemistry, optical spectroscopy, electrochemistry, protein engineering, high-throughput screening, synthetic biology and X-ray crystallography.
Activities and responsibilities
The present project, funded by the Deutsche Forschungsgemeinschaft, focuses on the newly discovered light-oxygen-voltage (LOV) receptor PAL that binds short RNAs under blue light. We seek a molecular understanding of signal transduction in this and related LOV receptors. Empowered by such knowledge, we engineer photoreceptors and develop novel applications in optoribogenetics, a hitherto inaccessible branch of optogenetics.
More information is available on request and in our recent publications, cf. e.g., Nat Commun 2015 (26648256), ACS Synth Biol 2016 (27002379), Nucleic Acid Res 2016 (27744350), Structure 2017 (28502782), Nat Commun 2017 (28819239), Chem Rev 2018 (29984995), Nat Chem Biol 2019 (31451761).
Qualification profile
The ideal candidate holds an M.Sc. degree in Biochemistry, Biology, Biophysics, Chemistry or a related discipline. Enthusiasm for experimental research, self-reliance, ability to work in a team and good English skills are expected. Pertinent training and experience in one or several of the following subjects are of advantage: molecular biology, protein biochemistry, protein crystallography, biomolecular spectroscopy and cell culture.
We offer
The Department of Biochemistry at the University of Bayreuth provides top-notch instrumentation for biochemistry, electrochemistry, protein crystallography, optical spectroscopy, mass spectrometry and flow cytometry. By offering excellent training and research infrastructure, the institute and the university create a highly interdisciplinary and stimulating environment for biochemical projects. The candidate can enrol in a structured PhD program within the University of Bayreuth graduate school BayNAT. The position is available immediately for initially three years, and salary is according to the TV-L scale.
Send application to
Applications from handicapped persons will be favored when all other qualifications are equal. The University of Bayreuth is an equal opportunity employer and we therefore especially encourage women to apply. Applications should be sent as a single PDF to the below email address and comprise cover letter, CV and contact information for two referees willing to provide reference letters.
Prof. Dr. Andreas Möglich
email andreas.moeglich@uni-bayreuth.de
http://www.moeglich.uni-bayreuth.de/
✔️ @ApplyTime
We are currently seeking a talented PhD student to join our team at the Department of Biochemistry of the University of Bayreuth. We investigate sensory photoreceptors which enable the control by light of behaviour and physiology in Nature and optogenetics. We use an assortment of biochemical/biophysical techniques spanning molecular biology, protein biochemistry, optical spectroscopy, electrochemistry, protein engineering, high-throughput screening, synthetic biology and X-ray crystallography.
Activities and responsibilities
The present project, funded by the Deutsche Forschungsgemeinschaft, focuses on the newly discovered light-oxygen-voltage (LOV) receptor PAL that binds short RNAs under blue light. We seek a molecular understanding of signal transduction in this and related LOV receptors. Empowered by such knowledge, we engineer photoreceptors and develop novel applications in optoribogenetics, a hitherto inaccessible branch of optogenetics.
More information is available on request and in our recent publications, cf. e.g., Nat Commun 2015 (26648256), ACS Synth Biol 2016 (27002379), Nucleic Acid Res 2016 (27744350), Structure 2017 (28502782), Nat Commun 2017 (28819239), Chem Rev 2018 (29984995), Nat Chem Biol 2019 (31451761).
Qualification profile
The ideal candidate holds an M.Sc. degree in Biochemistry, Biology, Biophysics, Chemistry or a related discipline. Enthusiasm for experimental research, self-reliance, ability to work in a team and good English skills are expected. Pertinent training and experience in one or several of the following subjects are of advantage: molecular biology, protein biochemistry, protein crystallography, biomolecular spectroscopy and cell culture.
We offer
The Department of Biochemistry at the University of Bayreuth provides top-notch instrumentation for biochemistry, electrochemistry, protein crystallography, optical spectroscopy, mass spectrometry and flow cytometry. By offering excellent training and research infrastructure, the institute and the university create a highly interdisciplinary and stimulating environment for biochemical projects. The candidate can enrol in a structured PhD program within the University of Bayreuth graduate school BayNAT. The position is available immediately for initially three years, and salary is according to the TV-L scale.
Send application to
Applications from handicapped persons will be favored when all other qualifications are equal. The University of Bayreuth is an equal opportunity employer and we therefore especially encourage women to apply. Applications should be sent as a single PDF to the below email address and comprise cover letter, CV and contact information for two referees willing to provide reference letters.
Prof. Dr. Andreas Möglich
email andreas.moeglich@uni-bayreuth.de
http://www.moeglich.uni-bayreuth.de/
✔️ @ApplyTime
Post-doc position on EyeDesign (Eye-Gaze Tracking For Collaborative Design)
Post/s of Full-Time/Part-Time Research Support Officer III or IV (post-doc)
Workplace: University of Malta, Malta
EyeDesign - Calibration-Free Multi-User Eye-Gaze Tracking For Collaborative Design
And Any Other Projects Undertaken by the Department of Systems and Control Engineering.
Applications are invited for a Research Support Officer to work on a full-time/part-time basis on “Calibration-Free Multi-User Eye-Gaze Tracking For Collaborative Design” (EyeDesign), a project financed by the University of Malta through the Transdisciplinary Research and Knowledge Exchange Complex (TRAKE). The selected applicant will develop algorithms for multi-user, calibration-free eye-gaze tracking for the purpose of collaborative design. The work will be carried out in collaboration with international academic partners with expertise in collaborative design from Koç University in Istanbul, Turkey and the University of Applied Sciences for Engineering and Economics in Berlin, Germany.
Applicants applying for the post must be in possession of a PhD/DPhil degree focusing in the fields of image processing and computer vision. Experience in one or more of the following areas will be considered favourably: vision-based motion tracking, sketch-based interfacing, 3D reconstruction, 3D modelling, rendering and visualisation.
The University of Malta is an Equal Opportunity employer.
The post is for a period of 30 months and carries the following initial annual remuneration, depending on the experience of the candidate:
Research Support Officer III - €31,200 or €15 per hour
Research Support Officer IV - €41,600 or €20 per hour
Candidates must submit their letter of application, a copy of their curriculum vitae and a copy of their certificates by e-mail to projects.hrmd@um.edu.mt and should be received by not later than 27th November 2019.
Late applications will not be considered.
Further information may be obtained by sending an email to stefania.cristina@um.edu.mt.
Refer to our pages: https://www.um.edu.mt and https://www.um.edu.mt/__data/assets/pdf_file/0004/414877/TRAKEProjectRSOs-EyeDesign-11.19.pdf
✔️ @ApplyTime
Post/s of Full-Time/Part-Time Research Support Officer III or IV (post-doc)
Workplace: University of Malta, Malta
EyeDesign - Calibration-Free Multi-User Eye-Gaze Tracking For Collaborative Design
And Any Other Projects Undertaken by the Department of Systems and Control Engineering.
Applications are invited for a Research Support Officer to work on a full-time/part-time basis on “Calibration-Free Multi-User Eye-Gaze Tracking For Collaborative Design” (EyeDesign), a project financed by the University of Malta through the Transdisciplinary Research and Knowledge Exchange Complex (TRAKE). The selected applicant will develop algorithms for multi-user, calibration-free eye-gaze tracking for the purpose of collaborative design. The work will be carried out in collaboration with international academic partners with expertise in collaborative design from Koç University in Istanbul, Turkey and the University of Applied Sciences for Engineering and Economics in Berlin, Germany.
Applicants applying for the post must be in possession of a PhD/DPhil degree focusing in the fields of image processing and computer vision. Experience in one or more of the following areas will be considered favourably: vision-based motion tracking, sketch-based interfacing, 3D reconstruction, 3D modelling, rendering and visualisation.
The University of Malta is an Equal Opportunity employer.
The post is for a period of 30 months and carries the following initial annual remuneration, depending on the experience of the candidate:
Research Support Officer III - €31,200 or €15 per hour
Research Support Officer IV - €41,600 or €20 per hour
Candidates must submit their letter of application, a copy of their curriculum vitae and a copy of their certificates by e-mail to projects.hrmd@um.edu.mt and should be received by not later than 27th November 2019.
Late applications will not be considered.
Further information may be obtained by sending an email to stefania.cristina@um.edu.mt.
Refer to our pages: https://www.um.edu.mt and https://www.um.edu.mt/__data/assets/pdf_file/0004/414877/TRAKEProjectRSOs-EyeDesign-11.19.pdf
✔️ @ApplyTime
L-Università ta' Malta
Computational Neuroscience Research Scientist Faculty Position in Toronto - Krembil Research Institute
Hello all,
Please consider applying for the following position.
Position: Computational Neuroscience Research Scientist
Site: Krembil Research Institute/Toronto Western Hospital
Department: Research
Reports to: Institute Director
Status: Permanent Full-time
https://www.recruitingsite.com/csbsites/uhncareers/JobDenoscription.asp?SiteID=10031&JobNumber=851664
The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto.
Qualified applicants are invited to submit their online application (letter of interest, research plan, curriculum vitae), in PDF format as well as complete some initial screening questions.
The search committee will begin to review applications in January with a potential start date in Spring/Summer 2020.
Feel free to contact Frances Skinner if you have any questions.
✔️ @ApplyTime
Hello all,
Please consider applying for the following position.
Position: Computational Neuroscience Research Scientist
Site: Krembil Research Institute/Toronto Western Hospital
Department: Research
Reports to: Institute Director
Status: Permanent Full-time
https://www.recruitingsite.com/csbsites/uhncareers/JobDenoscription.asp?SiteID=10031&JobNumber=851664
The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto.
Qualified applicants are invited to submit their online application (letter of interest, research plan, curriculum vitae), in PDF format as well as complete some initial screening questions.
The search committee will begin to review applications in January with a potential start date in Spring/Summer 2020.
Feel free to contact Frances Skinner if you have any questions.
✔️ @ApplyTime
5 year PhD Interdisciplinary Neuroscience PhD Program, Tuebingen
The Max Planck Institute for Biological Cybernetics and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants.
We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning ambition to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment.
The application deadline is December 15, 2019. Please visit:
https://www.kyb.tuebingen.mpg.de/phd-program
for more details and information about applying.
The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2020) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring.
Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience.
Teaching and research are conducted in English.
✔️ @ApplyTime
The Max Planck Institute for Biological Cybernetics and the University of Tübingen invite students from all over the world to apply for their interdisciplinary 5-year PhD program leading to a PhD in Neuroscience. Full funding will be available for top-ranked applicants.
We are seeking talented, curious and open-minded young scientists with strong backgrounds in neuroscience, biomedical sciences, computational science, applied mathematics, statistics, artificial intelligence, or engineering. Successful candidates will possess a burning ambition to shape the future of neuroscience and the ability to thrive in a fast-paced, interdisciplinary, environment.
The application deadline is December 15, 2019. Please visit:
https://www.kyb.tuebingen.mpg.de/phd-program
for more details and information about applying.
The PhD program is a collaboration between the Max Planck Institute for Biological Cybernetics and the University of Tübingen. It is closely affiliated with the renowned Graduate Training Centre of Neuroscience, the centerpiece of neuroscience training in Tübingen. Students (who should have been awarded a Bachelor's degree by September 2020) will receive a broad interdisciplinary training in neuroscience, including expert teaching by international renowned scientists and individual and intensive mentoring.
Potential research topics cover a variety of fields in systems neuroscience, cognitive and behavioral neuroscience, computational neuroscience, translational and clinical neuroscience as well as cellular and molecular neuroscience.
Teaching and research are conducted in English.
✔️ @ApplyTime
Postdoc position in mouse electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)
Hi all, we are hiring!
We are looking for an enthusiastic postdoctoral researcher to lead the mouse work of the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany.
The position
The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour, and how this compares between mouse and monkey. To this end, we conduct chronic electrophysiological recordings in the visual cortex of macaques and mice, while they are engaged in the same, naturalistic foraging task in a virtual environment. The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith, and funded by the Max Planck Society. In the lab, postdocs and PhD students focus on experiments in either mouse or monkey, but intensely work together to ensure that we constantly align and mutually learn from experiments across species.
We are now looking for a postdoc to lead the mouse side of the lab, while developing their own ideas and research interests. Ideally, we would like you to start in Spring 2020. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel.
You
If you (are about to) hold a Ph.D., have experience with electrophysiological recordings in awake animals, and are eager to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that would be extremely valuable:
- Programming skills (Matlab and/or Python)
- Technical skills to build up an electrophysiology set-up
- Experience with behavioural training
How to apply
If you are interested and/or looking for more information about the job, please send an email to Marieke (marieke.scholvinck@esi-frankfurt.de) and Martha (marthanari.havenith@gmail.com) before December 15, 2019. In your email, please explain your background, what you expect from your postdoc, and why you want to join us in Frankfurt (including non-scientific reasons, if any – we like to get to know the human beings we work with!). The application remains open until the position is filled.
We look forward to hearing from you!
Martha and Marieke
✔️ @ApplyTime
Hi all, we are hiring!
We are looking for an enthusiastic postdoctoral researcher to lead the mouse work of the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany.
The position
The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour, and how this compares between mouse and monkey. To this end, we conduct chronic electrophysiological recordings in the visual cortex of macaques and mice, while they are engaged in the same, naturalistic foraging task in a virtual environment. The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith, and funded by the Max Planck Society. In the lab, postdocs and PhD students focus on experiments in either mouse or monkey, but intensely work together to ensure that we constantly align and mutually learn from experiments across species.
We are now looking for a postdoc to lead the mouse side of the lab, while developing their own ideas and research interests. Ideally, we would like you to start in Spring 2020. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel.
You
If you (are about to) hold a Ph.D., have experience with electrophysiological recordings in awake animals, and are eager to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that would be extremely valuable:
- Programming skills (Matlab and/or Python)
- Technical skills to build up an electrophysiology set-up
- Experience with behavioural training
How to apply
If you are interested and/or looking for more information about the job, please send an email to Marieke (marieke.scholvinck@esi-frankfurt.de) and Martha (marthanari.havenith@gmail.com) before December 15, 2019. In your email, please explain your background, what you expect from your postdoc, and why you want to join us in Frankfurt (including non-scientific reasons, if any – we like to get to know the human beings we work with!). The application remains open until the position is filled.
We look forward to hearing from you!
Martha and Marieke
✔️ @ApplyTime
Fully funded Ph.D. position on "5D Light Field Video Analysis"
e are seeking researchers for the analysis and processing of so called 5D Light Field Video.
With the 5th domain we denote flexibly controlling the exposure times of cameras within a light field rig.
Such control enables sub-framing and hence the exchange of temporal with spatial resolution. Only few
tools are available to handle such sub-framed light field videos.
Ph.D. positions are on optimizing the sub-frame structure by scene analysis and on spatio/angular/temporal
light field interpolation. We use classical as well as deep learning-based methods and have built an own
camera rig with 64 FullHD cameras and very flexible shutter control.
Positions come with a full-time employment at Saarland University for a duration of up to three years
(dependent on the starting date and the qualification of the applicants). Salary follows the German
University employment rules (TV-L13, ~45.000€ p.a. gross salary, exact amounts dependent on the
personal status of the applicant).
Interested researchers are invited to send a mail to Thorsten Herfet and discuss in a more detailed
fashion.
Thorsten Herfet
Prof. Dr.-Ing. Thorsten Herfet
Telecommunications Lab
Email: herfet@cs.uni-saarland.de
✔️ @ApplyTime
e are seeking researchers for the analysis and processing of so called 5D Light Field Video.
With the 5th domain we denote flexibly controlling the exposure times of cameras within a light field rig.
Such control enables sub-framing and hence the exchange of temporal with spatial resolution. Only few
tools are available to handle such sub-framed light field videos.
Ph.D. positions are on optimizing the sub-frame structure by scene analysis and on spatio/angular/temporal
light field interpolation. We use classical as well as deep learning-based methods and have built an own
camera rig with 64 FullHD cameras and very flexible shutter control.
Positions come with a full-time employment at Saarland University for a duration of up to three years
(dependent on the starting date and the qualification of the applicants). Salary follows the German
University employment rules (TV-L13, ~45.000€ p.a. gross salary, exact amounts dependent on the
personal status of the applicant).
Interested researchers are invited to send a mail to Thorsten Herfet and discuss in a more detailed
fashion.
Thorsten Herfet
Prof. Dr.-Ing. Thorsten Herfet
Telecommunications Lab
Email: herfet@cs.uni-saarland.de
✔️ @ApplyTime
2 PhD/Postdoc positions in theory of neuromorphic computing, Groningen, NL
H. Jaeger h.jaeger@rug.nl via googlegroups.com
In the group of Herbert Jaeger two fully funded positions are open for PhD students (4 year contract) or Postdocs (3 year contract). Both positions are about formal, theoretical analyses and algorithmic models of „neuromorphic“ computing in non-digital hardware (analog, unclocked, spiking microchips or even unconventional material substrates exhibiting relevant nonlinear dyanmical phenomena).
Herbert Jaeger’s group is embedded in the Groningen Cognitive Systems and Materials Center (CogniGron, https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en). CogniGron, founded in 2018, is an interdisciplinary initiative at the intersection of computer science, AI, machine learning, computational neuroscience and material science. With 10 new professorships and 30 PhD stipends, CogniGron stands out as one of the most visible scientific investments in the Netherlands in recent times.
The *first position* is defined within the European H2020 project „Memory technologies with multi-scale time constants for neuromorphic architectures (MeM-Scales)“, whose central objective is to build (analog, spiking) neuromorphic microchips which can adapt to online input signals which display many timescales. Since microchip physics will deliver only a few physical timescales, collective computational phenomena will have to be explored in order to realize the long-range memory timescales required by many tasks. Since at this point, numerous but hardly explored options are "in the air" for computational timescale management, this position offers much freedom to engage in original work.
The *second position* is funded through university budgets and is independent of specific project demands. The position holder will enjoy unusual freedom, paired with intellectual risk, to contribute to the ultimate scientific goal of Jaeger’s group: a unifying formal theory of information processing in nonlinear dynamical systems - regardless of whether they are similar to biological brains, or rest on non-neural dynamical phenomena in novel material substrates. Obviously, such a unifying theory, which would play for neuromorphic computing a similarly central role as Turing computability theory plays for digital computing, is not in sight and may be even not possible. However, many mini-revolutions in mathematical denoscription formats are possible, and needed.
Each position will be filled by either a PhD student with a 4-year contract, or by a Postdoc with a 3-year contract. The only selection criterion is qualification (product of intellectual audacity, analytical thinking power, and relevant mathematical and factual knowledge).
These two positions are a perfect intellectual challenge for adventurous mathematicians, theoretical physicists / biologists, theoretical computer scientists or analytically minded machine learners with a background in dynamical systems, dynamics on networks, information theory, or formal logic.
Groningen:
First position:
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DOP (PhD version)
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DQP (Postdoc version)
Second position:
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DNP (PhD version)
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DPP (Postdoc version)
Please apply for at most one of these formal job announcements, following the instructions given at these weblinks. For pre-application inquiries please contact me directly by email (h.jaeger at rug.nl). Applications received before December 1 will be given full consideration; however, the positions will remain open until filled. The earliest (and desirable) starting date for both positions is January 1, 2020.
✔️ @ApplyTime
H. Jaeger h.jaeger@rug.nl via googlegroups.com
In the group of Herbert Jaeger two fully funded positions are open for PhD students (4 year contract) or Postdocs (3 year contract). Both positions are about formal, theoretical analyses and algorithmic models of „neuromorphic“ computing in non-digital hardware (analog, unclocked, spiking microchips or even unconventional material substrates exhibiting relevant nonlinear dyanmical phenomena).
Herbert Jaeger’s group is embedded in the Groningen Cognitive Systems and Materials Center (CogniGron, https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en). CogniGron, founded in 2018, is an interdisciplinary initiative at the intersection of computer science, AI, machine learning, computational neuroscience and material science. With 10 new professorships and 30 PhD stipends, CogniGron stands out as one of the most visible scientific investments in the Netherlands in recent times.
The *first position* is defined within the European H2020 project „Memory technologies with multi-scale time constants for neuromorphic architectures (MeM-Scales)“, whose central objective is to build (analog, spiking) neuromorphic microchips which can adapt to online input signals which display many timescales. Since microchip physics will deliver only a few physical timescales, collective computational phenomena will have to be explored in order to realize the long-range memory timescales required by many tasks. Since at this point, numerous but hardly explored options are "in the air" for computational timescale management, this position offers much freedom to engage in original work.
The *second position* is funded through university budgets and is independent of specific project demands. The position holder will enjoy unusual freedom, paired with intellectual risk, to contribute to the ultimate scientific goal of Jaeger’s group: a unifying formal theory of information processing in nonlinear dynamical systems - regardless of whether they are similar to biological brains, or rest on non-neural dynamical phenomena in novel material substrates. Obviously, such a unifying theory, which would play for neuromorphic computing a similarly central role as Turing computability theory plays for digital computing, is not in sight and may be even not possible. However, many mini-revolutions in mathematical denoscription formats are possible, and needed.
Each position will be filled by either a PhD student with a 4-year contract, or by a Postdoc with a 3-year contract. The only selection criterion is qualification (product of intellectual audacity, analytical thinking power, and relevant mathematical and factual knowledge).
These two positions are a perfect intellectual challenge for adventurous mathematicians, theoretical physicists / biologists, theoretical computer scientists or analytically minded machine learners with a background in dynamical systems, dynamics on networks, information theory, or formal logic.
Groningen:
First position:
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DOP (PhD version)
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DQP (Postdoc version)
Second position:
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DNP (PhD version)
https://www.rug.nl/about-us/work-with-us/job-opportunities/?details=00347-02S0007DPP (Postdoc version)
Please apply for at most one of these formal job announcements, following the instructions given at these weblinks. For pre-application inquiries please contact me directly by email (h.jaeger at rug.nl). Applications received before December 1 will be given full consideration; however, the positions will remain open until filled. The earliest (and desirable) starting date for both positions is January 1, 2020.
✔️ @ApplyTime
University of Groningen
CogniGron
Creating a blueprint for future-proof computingThe Groningen Cognitive Systems and Materials Center (CogniGron) at the University of Groningen is a...
PhD studentships available at the University of Edinburgh
3 interdisciplinary PhD projects combining experimental neuroscience and informatics are available in Dr. Gulsen Surmeli's Lab (https://www.ed.ac.uk/discovery-brain-sciences/our-staff/research-groups/dr-gulsen-surmeli) at the University of Edinburgh. The projects aim to investigate neural circuits of learning and memory using state-of-the art molecular and imaging tools. For more information about the projects and application guidelines please follow the links below.
Project 1. Investigation of cortical population codes for long-term memory.
https://www.findaphd.com/phds/project/eastbio-investigation-of-cortical-population-codes-for-long-term-memory/?p114669
Project 2. Imaging cortical codes for learning and memory in models of autism spectrum disorders.
https://www.edinburghneuroscience.ed.ac.uk/project/autism-intellectual-disability-neurodevelopment/imaging-cortical-codes-learning-and-memory
Project 3. Investigation of long-range connectopathies in autism spectrum disorders using high-throughput single cell projection mapping.
https://www.findaphd.com/phds/project/precision-medicine-dtp-investigation-of-long-range-connectopathies-in-autism-spectrum-disorders-using-high-throughput-single-cell-projection-mapping-and-3d-imaging/?p114864
✔️ @ApplyTime
3 interdisciplinary PhD projects combining experimental neuroscience and informatics are available in Dr. Gulsen Surmeli's Lab (https://www.ed.ac.uk/discovery-brain-sciences/our-staff/research-groups/dr-gulsen-surmeli) at the University of Edinburgh. The projects aim to investigate neural circuits of learning and memory using state-of-the art molecular and imaging tools. For more information about the projects and application guidelines please follow the links below.
Project 1. Investigation of cortical population codes for long-term memory.
https://www.findaphd.com/phds/project/eastbio-investigation-of-cortical-population-codes-for-long-term-memory/?p114669
Project 2. Imaging cortical codes for learning and memory in models of autism spectrum disorders.
https://www.edinburghneuroscience.ed.ac.uk/project/autism-intellectual-disability-neurodevelopment/imaging-cortical-codes-learning-and-memory
Project 3. Investigation of long-range connectopathies in autism spectrum disorders using high-throughput single cell projection mapping.
https://www.findaphd.com/phds/project/precision-medicine-dtp-investigation-of-long-range-connectopathies-in-autism-spectrum-disorders-using-high-throughput-single-cell-projection-mapping-and-3d-imaging/?p114864
✔️ @ApplyTime
The University of Edinburgh
Dr Gülşen Sürmeli
Investigating cortical memory networks using advanced anatomical, electrophysiological, optogenetic and imaging methods.
Postdoc in Quantitative Historical and Demographic Research - DEADLINE 22 November
Job Summary
The University of Colorado Population Center (CUPC) and the Institute of Behavioral Science (IBS) at the University of Colorado Boulder are recruiting a postdoctoral fellow with expertise in quantitative historical and demographic research, for an 18-month appointment, to start January 2020.
What Your Key Responsibilities Will Be
Candidates must have experience in quantitative methods, the use of computational, statistical or data scientific approaches applied to social science or interdisciplinary research settings, and data integration involving spatial and non-spatial data. They are expected to bring particular interest in interdisciplinary research and to participate in and develop future interdisciplinary projects. The candidate will work on a project about long-term change in small rural places in the United States, making use of a combination of public and restricted-use demographic, economic, and spatial data, much of it housed in the Rocky Mountain Research Data Center, one in a network of Federal Statistical Research Data Centers managed by the U.S. Bureau of the Census.
Postdoctoral researchers will work at the CUPC in the Institute of Behavioral Science, will participate in relevant working groups, regularly attend and present within the CUPC speaker series, and participate in other CUPC workshops and mentoring activities.
What We Require
Ph.D. degree in a relevant field, especially history, sociology, geography, economics, or information science.
Ability to secure Special Sworn Status from the U.S. Bureau of the Census.
What You Will Need
Demonstrated skills in quantitative or spatial analysis (or both) of research data, especially very large data sets.
Excellent communication skills in the form of writing and speaking.
Special Instructions
To apply, please submit the following materials:
Cover letter: Describe areas of experience, as well as current and future research interests.
CV
Two writing samples
For full consideration please apply by Friday, November 22nd.
During the application process, you will need to enter contact information for 1 reference and we will request a letter of recommendation immediately from them upon completion of your application.
More information here.
✔️ @ApplyTime
Job Summary
The University of Colorado Population Center (CUPC) and the Institute of Behavioral Science (IBS) at the University of Colorado Boulder are recruiting a postdoctoral fellow with expertise in quantitative historical and demographic research, for an 18-month appointment, to start January 2020.
What Your Key Responsibilities Will Be
Candidates must have experience in quantitative methods, the use of computational, statistical or data scientific approaches applied to social science or interdisciplinary research settings, and data integration involving spatial and non-spatial data. They are expected to bring particular interest in interdisciplinary research and to participate in and develop future interdisciplinary projects. The candidate will work on a project about long-term change in small rural places in the United States, making use of a combination of public and restricted-use demographic, economic, and spatial data, much of it housed in the Rocky Mountain Research Data Center, one in a network of Federal Statistical Research Data Centers managed by the U.S. Bureau of the Census.
Postdoctoral researchers will work at the CUPC in the Institute of Behavioral Science, will participate in relevant working groups, regularly attend and present within the CUPC speaker series, and participate in other CUPC workshops and mentoring activities.
What We Require
Ph.D. degree in a relevant field, especially history, sociology, geography, economics, or information science.
Ability to secure Special Sworn Status from the U.S. Bureau of the Census.
What You Will Need
Demonstrated skills in quantitative or spatial analysis (or both) of research data, especially very large data sets.
Excellent communication skills in the form of writing and speaking.
Special Instructions
To apply, please submit the following materials:
Cover letter: Describe areas of experience, as well as current and future research interests.
CV
Two writing samples
For full consideration please apply by Friday, November 22nd.
During the application process, you will need to enter contact information for 1 reference and we will request a letter of recommendation immediately from them upon completion of your application.
More information here.
✔️ @ApplyTime
jobs.colorado.edu
Post Doctoral Associate
The University of Colorado Population Center (CUPC) and the Institute of Behavioral Science (IBS) at the University of Colorado Boulder are recruiting a postdoctoral fellow with expertise in...
University of Sussex 4-year PhD Programme in Neuroscience
Dear colleagues,
We are inviting applications for our PhD Programme in Neuroscience at the University of Sussex, for entry in September 2020. Could you please kindly distribute to interested students.
Thank you
Best wishes
Miguel Maravall
University of Sussex
4-year PhD Programme in Neuroscience
Sussex Neuroscience is now inviting applications for September 2020 entry to our funded PhD Programme, which includes a first year of laboratory rotations and taught modules. These support a transition into neuroscience from other science disciplines such as physics and computing, and provide students with the opportunity to both broaden and deepen their experience of different neuroscience fields and techniques. More than 40 supervisors are offering research projects in topics including molecular & cellular biology, neurophysiology, learning, behavioural and cognitive neuroscience, psychology, development, sensory systems, computational neuroscience, functional imaging, neurodegeneration and translational neuroscience (the interface between fundamental and clinical neuroscience).
Application Deadline: January 6th 2020
The beautiful Sussex campus, located just outside Brighton, is home to one of the largest neuroscience research communities in the UK, with strong interdisciplinary interactions between the biological and computational sciences.
Our PhD Programme attracts some of the brightest students internationally. Home/EU fees are waived and a stipend is provided. We also welcome applications from non-EU students; we may be able to contribute top-up funds to exceptional international students who secure partial external funding. All students on the Programme can access financial support to attend conferences and additional training opportunities in the UK and overseas throughout their PhD.
For further information and application instructions, please visit:
www.sussex.ac.uk/sussexneuroscience/study/4yearphd
✔️ @ApplyTime
Dear colleagues,
We are inviting applications for our PhD Programme in Neuroscience at the University of Sussex, for entry in September 2020. Could you please kindly distribute to interested students.
Thank you
Best wishes
Miguel Maravall
University of Sussex
4-year PhD Programme in Neuroscience
Sussex Neuroscience is now inviting applications for September 2020 entry to our funded PhD Programme, which includes a first year of laboratory rotations and taught modules. These support a transition into neuroscience from other science disciplines such as physics and computing, and provide students with the opportunity to both broaden and deepen their experience of different neuroscience fields and techniques. More than 40 supervisors are offering research projects in topics including molecular & cellular biology, neurophysiology, learning, behavioural and cognitive neuroscience, psychology, development, sensory systems, computational neuroscience, functional imaging, neurodegeneration and translational neuroscience (the interface between fundamental and clinical neuroscience).
Application Deadline: January 6th 2020
The beautiful Sussex campus, located just outside Brighton, is home to one of the largest neuroscience research communities in the UK, with strong interdisciplinary interactions between the biological and computational sciences.
Our PhD Programme attracts some of the brightest students internationally. Home/EU fees are waived and a stipend is provided. We also welcome applications from non-EU students; we may be able to contribute top-up funds to exceptional international students who secure partial external funding. All students on the Programme can access financial support to attend conferences and additional training opportunities in the UK and overseas throughout their PhD.
For further information and application instructions, please visit:
www.sussex.ac.uk/sussexneuroscience/study/4yearphd
✔️ @ApplyTime
www.sussex.ac.uk
4-Year PhD Programme : Study : Sussex Neuroscience : University of Sussex
Fully funded PhD position in Marine Robotics and SLAM for AUVs operating under the Arctic/Antarctic sea-ice
Rationale:
Despite the considerable effort directed towards AUV navigation, a self-contained solution remains a key challenge. Due to the cumulative error that inertial navigation experiences with time, AUVs typically require an external navigation support or regular surfacing to obtain GPS fixes and limit the error [1], which options can be undesirable/unavailable in certain applications (e.g. deep-water and/or under-ice deployments). In response to the presently limited navigation capability, this project will focus on the development of robust navigation techniques for high-powered AUVs that relying on on-board sensors and efficient algorithms will enable navigation in GPS-denied environments. SLAM is a powerful technique where a robot builds the map of the surrounding environment and concurrently localises itself within that map. Although SLAM has been proven to be effective for mobile robots operating in structured environments, the application of these techniques in the highly unstructured underwater domain is immature with outstanding challenges to be addressed. The candidate will be required to develop robust and computationally feasible in real-time sonar-based SLAM algorithms. Upon the successful demonstration of the effectiveness of the algorithms in computer simulations (with respect to the environmental suitability), the candidate will have the opportunity to test the algorithm in real-time via field experiments.
More info
✔️ @ApplyTime
Rationale:
Despite the considerable effort directed towards AUV navigation, a self-contained solution remains a key challenge. Due to the cumulative error that inertial navigation experiences with time, AUVs typically require an external navigation support or regular surfacing to obtain GPS fixes and limit the error [1], which options can be undesirable/unavailable in certain applications (e.g. deep-water and/or under-ice deployments). In response to the presently limited navigation capability, this project will focus on the development of robust navigation techniques for high-powered AUVs that relying on on-board sensors and efficient algorithms will enable navigation in GPS-denied environments. SLAM is a powerful technique where a robot builds the map of the surrounding environment and concurrently localises itself within that map. Although SLAM has been proven to be effective for mobile robots operating in structured environments, the application of these techniques in the highly unstructured underwater domain is immature with outstanding challenges to be addressed. The candidate will be required to develop robust and computationally feasible in real-time sonar-based SLAM algorithms. Upon the successful demonstration of the effectiveness of the algorithms in computer simulations (with respect to the environmental suitability), the candidate will have the opportunity to test the algorithm in real-time via field experiments.
More info
✔️ @ApplyTime
Post-doc position at HRI Laboratory, Kyoto University
The HRI Laboratory (http://www.robot.soc.i.kyoto-u.ac.jp/en/) at Kyoto University (Kyoto, Japan) is recruiting an outstanding young (post-doctoral) researcher. Our laboratory has strong focus on human-robot social interaction in various human-populated environments, e.g. shopping mall. We have a vacancy in a project under a research funding (till March 2023) about human-robot interaction, human-robot symbiosis, and human-robot moral relationships. Thus, we seek for a person who can contribute to this project (http://www.robot.soc.i.kyoto-u.ac.jp/en/english-crest-project/).
In this project, we study social robots that operate in such environments like stores and shopping malls, and aim to develop social interaction of social robots for such a service industry. The project is also motivated by the fact that children sometimes abuse/bully a social robot, which is known as the "robot abuse" problem, and aim to moderate such problems by better establishing moral-relationships between robots and people.
(See some examples here: https://www.youtube.com/watch?v=CuJT9EtdETY)
We are seeking applications from young researchers with special interest in human-robot interaction. Candidates with specific expertise/background in the following domains are particularly welcome this time:
- Human behavior recognition using range-finder and/or depth cameras
- Machine learning, such as DNN (deep neural network), for visual and/or auditory perception in context of HRI
- Data-driven HRI, i.e. learning social behavior/interaction from big data
- Human behavior modeling for social robots
- Robotics relevant to social robots
The employment contract is made for each Japanese fiscal year (starting on April and finishing on March of next year); however, the starting period is flexible (after April 2020). Extensions will be expected based on the annual evaluation.
The wage will be decided based on experience and expertise.
Please feel free to ask me (kanda@i.kyoto-u.ac.jp) about details. To apply, please send us email including your CV and a statement about your interest and motivation!
I will participate in IROS 2019, so please feel free to contact me for meeting and talking about more details during IROS 2019.
Dr. Takayuki Kanda
----------------------------------------------
Takayuki Kanda, Professor
Department of Social Informatics, Kyoto University http://www.robot.soc.i.kyoto-u.ac.jp/en/
✔️ @ApplyTime
The HRI Laboratory (http://www.robot.soc.i.kyoto-u.ac.jp/en/) at Kyoto University (Kyoto, Japan) is recruiting an outstanding young (post-doctoral) researcher. Our laboratory has strong focus on human-robot social interaction in various human-populated environments, e.g. shopping mall. We have a vacancy in a project under a research funding (till March 2023) about human-robot interaction, human-robot symbiosis, and human-robot moral relationships. Thus, we seek for a person who can contribute to this project (http://www.robot.soc.i.kyoto-u.ac.jp/en/english-crest-project/).
In this project, we study social robots that operate in such environments like stores and shopping malls, and aim to develop social interaction of social robots for such a service industry. The project is also motivated by the fact that children sometimes abuse/bully a social robot, which is known as the "robot abuse" problem, and aim to moderate such problems by better establishing moral-relationships between robots and people.
(See some examples here: https://www.youtube.com/watch?v=CuJT9EtdETY)
We are seeking applications from young researchers with special interest in human-robot interaction. Candidates with specific expertise/background in the following domains are particularly welcome this time:
- Human behavior recognition using range-finder and/or depth cameras
- Machine learning, such as DNN (deep neural network), for visual and/or auditory perception in context of HRI
- Data-driven HRI, i.e. learning social behavior/interaction from big data
- Human behavior modeling for social robots
- Robotics relevant to social robots
The employment contract is made for each Japanese fiscal year (starting on April and finishing on March of next year); however, the starting period is flexible (after April 2020). Extensions will be expected based on the annual evaluation.
The wage will be decided based on experience and expertise.
Please feel free to ask me (kanda@i.kyoto-u.ac.jp) about details. To apply, please send us email including your CV and a statement about your interest and motivation!
I will participate in IROS 2019, so please feel free to contact me for meeting and talking about more details during IROS 2019.
Dr. Takayuki Kanda
----------------------------------------------
Takayuki Kanda, Professor
Department of Social Informatics, Kyoto University http://www.robot.soc.i.kyoto-u.ac.jp/en/
✔️ @ApplyTime
2 PhD studentships in Systems Neuroscience available at University of Sussex
Project
The PhD positions will develop within the project “Peripheral Olfactory Coding: Information Processing outside the Brain” funded by the Leverhulme Trust. This project will investigate early olfactory coding in the model system of the fruit fly Drosophila. Our aim is to test the hypothesis that one key element underlying odour object recognition are non-synaptic interactions between receptor neurons, i.e. information pre-processing outside the brain. Successful candidates will work in one of two areas, depending on interest: Single sensillum recordings (SSRs) on olfactory receptors or behavioural experiments in a wind tunnel. They will be involved in the entire work from experimental design, practical experimentation, selection and execution of data analysis and, depending on interest, computational interpretation in models. You will work closely with Dr Mario Pannunzi, Prof Thomas Nowotny and Prof George Kemenes on this project.
Candidate Requirements
Candidates should have an MSc or equivalent in natural sciences, ideally in the area of Neuroscience, Physics, Chemistry or Biology. In addition, strong analytical skills and fluency in English are essential for this project. Interest and skills to work in a multi-disciplinary and extensively networked project are important.
PhD Salary
UK/EU fees and a living allowance in line with UK Research Council rates, currently £15,009 in 2019-20 and rising in line with inflation in future years.
Work environment
You will join the exciting interdisciplinary environment of Sussex Neuroscience (http://www.sussex.ac.uk/sussexneuroscience/index) and the Centre for Computational Neuroscience and Robotics (http://www.sussex.ac.uk/ccnr/), within which you will work in the groups of Profs Nowotny (http://users.sussex.ac.uk/~tn41/) and Kemenes (http://www.sussex.ac.uk/profiles/1469). Colleagues in the groups work on diverse topics ranging from learning and memory in lymnaea stagnalis (pond snail) to the “Brains on Board project” (http://brainsonboard.co.uk/), seeking to emulate bee brains as robotic controllers for navigation. The University of Sussex provides an extremely rich research environment and training opportunities for doctoral researchers. The University is situated in Downs National Park at the edge of the vibrant coastal city of Brighton, known for its cultural richness, tolerance and diversity. The city offers a multitude of cultural activities, a colourful nightlife and is only an hour on the train away from the metropole of London.
How to apply
Please apply through https://www.sussex.ac.uk/pgapplication/, selecting “Neuroscience PhD” and Thomas Nowotny as the preferred supervisor. Please include a recent CV detailing your academic record and your research experience and a statement of motivation in your application.
(At this stage you do not need to upload copies of your diplomas or letters of reference. These we will requested if we decide to further pursue your application.)
Further inquiries
Please contact: Dr. Mario Pannunzi, project co-supervisor, m.pannunzi@sussex.ac.uk
or Prof. Thomas Nowotny, project supervisor, t.nowotny@sussex.ax.uk
Application deadline
Application before 12 December 2019 will receive full consideration but the position will remain open for applications until filled.
--
Prof Thomas Nowotny
Director of Research and Knowledge Exchange
✔️ @ApplyTime
Project
The PhD positions will develop within the project “Peripheral Olfactory Coding: Information Processing outside the Brain” funded by the Leverhulme Trust. This project will investigate early olfactory coding in the model system of the fruit fly Drosophila. Our aim is to test the hypothesis that one key element underlying odour object recognition are non-synaptic interactions between receptor neurons, i.e. information pre-processing outside the brain. Successful candidates will work in one of two areas, depending on interest: Single sensillum recordings (SSRs) on olfactory receptors or behavioural experiments in a wind tunnel. They will be involved in the entire work from experimental design, practical experimentation, selection and execution of data analysis and, depending on interest, computational interpretation in models. You will work closely with Dr Mario Pannunzi, Prof Thomas Nowotny and Prof George Kemenes on this project.
Candidate Requirements
Candidates should have an MSc or equivalent in natural sciences, ideally in the area of Neuroscience, Physics, Chemistry or Biology. In addition, strong analytical skills and fluency in English are essential for this project. Interest and skills to work in a multi-disciplinary and extensively networked project are important.
PhD Salary
UK/EU fees and a living allowance in line with UK Research Council rates, currently £15,009 in 2019-20 and rising in line with inflation in future years.
Work environment
You will join the exciting interdisciplinary environment of Sussex Neuroscience (http://www.sussex.ac.uk/sussexneuroscience/index) and the Centre for Computational Neuroscience and Robotics (http://www.sussex.ac.uk/ccnr/), within which you will work in the groups of Profs Nowotny (http://users.sussex.ac.uk/~tn41/) and Kemenes (http://www.sussex.ac.uk/profiles/1469). Colleagues in the groups work on diverse topics ranging from learning and memory in lymnaea stagnalis (pond snail) to the “Brains on Board project” (http://brainsonboard.co.uk/), seeking to emulate bee brains as robotic controllers for navigation. The University of Sussex provides an extremely rich research environment and training opportunities for doctoral researchers. The University is situated in Downs National Park at the edge of the vibrant coastal city of Brighton, known for its cultural richness, tolerance and diversity. The city offers a multitude of cultural activities, a colourful nightlife and is only an hour on the train away from the metropole of London.
How to apply
Please apply through https://www.sussex.ac.uk/pgapplication/, selecting “Neuroscience PhD” and Thomas Nowotny as the preferred supervisor. Please include a recent CV detailing your academic record and your research experience and a statement of motivation in your application.
(At this stage you do not need to upload copies of your diplomas or letters of reference. These we will requested if we decide to further pursue your application.)
Further inquiries
Please contact: Dr. Mario Pannunzi, project co-supervisor, m.pannunzi@sussex.ac.uk
or Prof. Thomas Nowotny, project supervisor, t.nowotny@sussex.ax.uk
Application deadline
Application before 12 December 2019 will receive full consideration but the position will remain open for applications until filled.
--
Prof Thomas Nowotny
Director of Research and Knowledge Exchange
✔️ @ApplyTime
www.sussex.ac.uk
Sussex Neuroscience : University of Sussex
6PhD and 5 Postdoc positions Science of Intelligence Berlin (EXC)
Cross-disciplinary research in artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy.
Starting dates: Summer / Fall 2020
Duration: 3 years
Salary level: TV-L 13, 100%
Application deadline: 29.11.2019 23:59 CET
What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology? Answering these questions - in an ethically responsible way - is the central scientific objective of the new Cluster of Excellence Science of Intelligence.
Researchers from a multitude of analytic and synthetic disciplines - artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy - join forces to create a multi-disciplinary research program across universities and research institutes in Berlin.
Our approach is driven by the insight, that any method, concept, and theory must demonstrate its merits by contributing to the intelligent behavior of a synthetic artifact, such as a robot or a computer program. These artifacts represent the shared “language” across disciplines, enabling the validation, combination, transfer, and extension of research results. Thus we expect to attain cohesion among disciplines, which currently produce their own theories and empirical findings about aspects of intelligence.
Interdisciplinary research projects have been defined which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence.
In addition, the Science of Intelligence graduate program promotes the cross-disciplinary education of young scientists on a Master, PhD, and postdoctoral level. All PhD students associated with the cluster are expected to join the Science of Intelligence doctoral program.
Apply here: https://www.scienceofintelligence.de/call-for-applications/
Zarifa Mohamad
Science of Intelligence (SCIoI)
Technische Universitaet Berlin
✔️ @ApplyTime
Cross-disciplinary research in artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy.
Starting dates: Summer / Fall 2020
Duration: 3 years
Salary level: TV-L 13, 100%
Application deadline: 29.11.2019 23:59 CET
What are the principles of intelligence, shared by all forms of intelligence, no matter whether artificial or biological, whether robot, computer program, human, or animal? And how can we apply these principles to create intelligent technology? Answering these questions - in an ethically responsible way - is the central scientific objective of the new Cluster of Excellence Science of Intelligence.
Researchers from a multitude of analytic and synthetic disciplines - artificial intelligence, machine learning, control, robotics, computer vision, behavioral biology, cognitive science, psychology, educational science, neuroscience, and philosophy - join forces to create a multi-disciplinary research program across universities and research institutes in Berlin.
Our approach is driven by the insight, that any method, concept, and theory must demonstrate its merits by contributing to the intelligent behavior of a synthetic artifact, such as a robot or a computer program. These artifacts represent the shared “language” across disciplines, enabling the validation, combination, transfer, and extension of research results. Thus we expect to attain cohesion among disciplines, which currently produce their own theories and empirical findings about aspects of intelligence.
Interdisciplinary research projects have been defined which combine analytic and synthetic research and which address key aspects of individual, social, and collective intelligence.
In addition, the Science of Intelligence graduate program promotes the cross-disciplinary education of young scientists on a Master, PhD, and postdoctoral level. All PhD students associated with the cluster are expected to join the Science of Intelligence doctoral program.
Apply here: https://www.scienceofintelligence.de/call-for-applications/
Zarifa Mohamad
Science of Intelligence (SCIoI)
Technische Universitaet Berlin
✔️ @ApplyTime
Senior Research Officer, Institute for Social and Economic Research - DEADLINE 6 January
The Institute for Social and Economic Research (ISER), at the University of Essex, has a worldwide reputation as a multidisciplinary centre of quantitative social science research and as a producer of household panel data of the highest quality.
ISER is seeking to appoint two quantitative social scientists in sociology, demography or an allied field to the post of Senior Research Officer to contribute to the research programme of the ESRC-funded Research Centre on Micro-Social Change (MiSoC). MiSoC, created in 1989, is one of the longest running ESRC-funded research centres in the UK. Since its inception, MiSoC's focus has been on analysing the behaviour of individuals and families and how they are shaped by policy and social and economic trends. Its research programme is wide-ranging and multi-disciplinary, and for this post we are looking for two candidates with strong backgrounds in the study of migration and social stratification who can contribute to research on migration, intergenerational mobility, and ethnic inequality as part of the 2019-2024 MiSoC programme.
Duties of the Role
The Institute is looking for candidates to work directly with MiSoC researchers to help prepare data, conduct quantitative analysis, and co-author excellent publications. The person appointed will also have their own coherent and fertile independent research agenda that is consistent with Strand 3 of the MiSoC programme, and should be able to demonstrate the potential to publish at the highest level.
This is a research position and there are no teaching duties associated with this post. Whilst it is a University standard expectation that post holders contribute to applications for external research funding at this level, applicants for this post will not be expected to generate income during the period of this appointment.
The post holder will also be expected to actively participate in ISER's departmental research culture including meetings, seminars and workshops.
A full list of duties and responsibilities can be found within the job pack.
Qualifications and Skills Required
Applicants are required to hold a Doctoral level degree in a relevant social science discipline, or be close to completion of PhD.
Experience in undertaking research in the fields of migration and social stratification, and of data management, statistical analysis and programming in Stata, R or similar software package is essential. You will also possess knowledge of quantitative methods for social scientists and experience of, or a demonstrable interest in, research areas that form Strand 3 of the research programme of the ESRC Research Centre on Micro-Social Change.
Applicants at this level are expected to have evidence of a developing research agenda and experience of contributing to small research programmes or defined areas of larger projects, and of developing research objectives and proposals.
These posts are fully funded by the MiSoC Research Centre for a 24-month period. Whilst they are full-time posts, part-time working will be considered at a minimum of 0.85 FTE (30.6 hours per week).
More information here.
✔️ @ApplyTime
The Institute for Social and Economic Research (ISER), at the University of Essex, has a worldwide reputation as a multidisciplinary centre of quantitative social science research and as a producer of household panel data of the highest quality.
ISER is seeking to appoint two quantitative social scientists in sociology, demography or an allied field to the post of Senior Research Officer to contribute to the research programme of the ESRC-funded Research Centre on Micro-Social Change (MiSoC). MiSoC, created in 1989, is one of the longest running ESRC-funded research centres in the UK. Since its inception, MiSoC's focus has been on analysing the behaviour of individuals and families and how they are shaped by policy and social and economic trends. Its research programme is wide-ranging and multi-disciplinary, and for this post we are looking for two candidates with strong backgrounds in the study of migration and social stratification who can contribute to research on migration, intergenerational mobility, and ethnic inequality as part of the 2019-2024 MiSoC programme.
Duties of the Role
The Institute is looking for candidates to work directly with MiSoC researchers to help prepare data, conduct quantitative analysis, and co-author excellent publications. The person appointed will also have their own coherent and fertile independent research agenda that is consistent with Strand 3 of the MiSoC programme, and should be able to demonstrate the potential to publish at the highest level.
This is a research position and there are no teaching duties associated with this post. Whilst it is a University standard expectation that post holders contribute to applications for external research funding at this level, applicants for this post will not be expected to generate income during the period of this appointment.
The post holder will also be expected to actively participate in ISER's departmental research culture including meetings, seminars and workshops.
A full list of duties and responsibilities can be found within the job pack.
Qualifications and Skills Required
Applicants are required to hold a Doctoral level degree in a relevant social science discipline, or be close to completion of PhD.
Experience in undertaking research in the fields of migration and social stratification, and of data management, statistical analysis and programming in Stata, R or similar software package is essential. You will also possess knowledge of quantitative methods for social scientists and experience of, or a demonstrable interest in, research areas that form Strand 3 of the research programme of the ESRC Research Centre on Micro-Social Change.
Applicants at this level are expected to have evidence of a developing research agenda and experience of contributing to small research programmes or defined areas of larger projects, and of developing research objectives and proposals.
These posts are fully funded by the MiSoC Research Centre for a 24-month period. Whilst they are full-time posts, part-time working will be considered at a minimum of 0.85 FTE (30.6 hours per week).
More information here.
✔️ @ApplyTime
Open position "Research Chair in Computer Science", Concordia University, Montreal, Canada
Department of Computer Science and Software Engineering
The Department seeks an outstanding candidate for the Gina Cody Research Chair in Computer Science at the rank of Assistant, Associate or Full Professor. The ideal candidate is an internationally recognized researcher with an exceptional scholarly record, and has proven leadership qualities, She/he is expected to demonstrate a commitment to the supervision of Masters and PhD students and attract strong external funding. We seek individuals with interests including, but not limited to: fundamental research in machine learning including deep learning and reinforcement learning; natural language processing; computer vision; robotics; medical imaging; computer graphics; computer games; theoretical computer science and algorithms; databases and big data analytics; high performance computing. The five year research chair is renewable and comes with an attractive research funding package.
More info
✔️ @ApplyTime
Department of Computer Science and Software Engineering
The Department seeks an outstanding candidate for the Gina Cody Research Chair in Computer Science at the rank of Assistant, Associate or Full Professor. The ideal candidate is an internationally recognized researcher with an exceptional scholarly record, and has proven leadership qualities, She/he is expected to demonstrate a commitment to the supervision of Masters and PhD students and attract strong external funding. We seek individuals with interests including, but not limited to: fundamental research in machine learning including deep learning and reinforcement learning; natural language processing; computer vision; robotics; medical imaging; computer graphics; computer games; theoretical computer science and algorithms; databases and big data analytics; high performance computing. The five year research chair is renewable and comes with an attractive research funding package.
More info
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www.concordia.ca
Gina Cody Research Chair in Computer Science
Senior Research Associate in High-Dimensional Longitudinal Methods, Lancaster
We are recruiting a research associate to join a 3-year Wellcome Trust-funded project for developing statistical and machine learning methods for high-dimensional longitudinal data. Applications close on 24th November. Please see below for more details, and apply here:
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?id=5578
With the advent of high-throughput genomics, proteomics and metabolomics, it has become common practice to collect and process longitudinal biological samples to follow the evolution of a disease or condition using molecular markers. These molecular markers are usually high-dimensional in nature, requiring sophisticated statistical processing. While our ability to measure high-dimensional markers has been steadily increasing, the ability to analyse these data effectively has not kept pace.
The research will bridge the gap between traditional longitudinal population studies and the high-dimensional world of molecular measurements, by developing new approaches for study design, modelling and inference that fully exploit both the cross-sectional (between dimensions) and longitudinal (between times) dependence structures of the data collected in these studies. You will work under the direct supervision of Dr Frank Dondelinger, a machine learning expert with extensive experience working on biomolecular datasets. The project team further includes leading statistical experts in longitudinal statistics (Professor Peter Diggle, Lancaster University), Gaussian processes (Dr Mauricio Alvarez, University of Sheffield) and Bayesian experimental design (Professor David Woods, University of Southampton). You will develop cutting-edge statistical and machine learning methods for dealing with high-dimensional longitudinal data. These methods will then be applied to molecular data from two large-scale population studies: metabolomic measurements from the Pregnancy Outcome Prediction Study (POPS) and DNA methylation measurements from the Avon Longitudinal Study of Parents and Children (ALSPAC).
You will be a motivated researcher with experience in developing statistical or machine learning methods and a keen interest in applying your skill set in the biomedical field to improve human health and our understanding of biological longitudinal processes.
The Centre for Health Informatics, Computation and Statistics is a vibrant and diverse research group within the Lancaster Medical School, comprising researchers into spatial and longitudinal statistics, machine learning, statistical genomics and epidemiology. The group has close ties to the School of Mathematics and Statistics and the Lancaster Data Science Institute, both of which have a reputation for excellence in statistical and computational research.
Lancaster University subscribes to the Researcher Development Concordat, and you will be fully supported in your professional and personal development. Lancaster University is committed to Equality, Diversity and Inclusion, and the Faculty of Health and Medicine holds a Silver Athena SWAN award. The Lancaster University Pre-School Centre is rated an Outstanding Provider by Ofsted and staff get preferential access to childcare places.
Informal inquiries about can be made to Dr Frank Dondelinger: f.dondelinger@lancaster.ac.uk
✔️ @ApplyTime
We are recruiting a research associate to join a 3-year Wellcome Trust-funded project for developing statistical and machine learning methods for high-dimensional longitudinal data. Applications close on 24th November. Please see below for more details, and apply here:
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?id=5578
With the advent of high-throughput genomics, proteomics and metabolomics, it has become common practice to collect and process longitudinal biological samples to follow the evolution of a disease or condition using molecular markers. These molecular markers are usually high-dimensional in nature, requiring sophisticated statistical processing. While our ability to measure high-dimensional markers has been steadily increasing, the ability to analyse these data effectively has not kept pace.
The research will bridge the gap between traditional longitudinal population studies and the high-dimensional world of molecular measurements, by developing new approaches for study design, modelling and inference that fully exploit both the cross-sectional (between dimensions) and longitudinal (between times) dependence structures of the data collected in these studies. You will work under the direct supervision of Dr Frank Dondelinger, a machine learning expert with extensive experience working on biomolecular datasets. The project team further includes leading statistical experts in longitudinal statistics (Professor Peter Diggle, Lancaster University), Gaussian processes (Dr Mauricio Alvarez, University of Sheffield) and Bayesian experimental design (Professor David Woods, University of Southampton). You will develop cutting-edge statistical and machine learning methods for dealing with high-dimensional longitudinal data. These methods will then be applied to molecular data from two large-scale population studies: metabolomic measurements from the Pregnancy Outcome Prediction Study (POPS) and DNA methylation measurements from the Avon Longitudinal Study of Parents and Children (ALSPAC).
You will be a motivated researcher with experience in developing statistical or machine learning methods and a keen interest in applying your skill set in the biomedical field to improve human health and our understanding of biological longitudinal processes.
The Centre for Health Informatics, Computation and Statistics is a vibrant and diverse research group within the Lancaster Medical School, comprising researchers into spatial and longitudinal statistics, machine learning, statistical genomics and epidemiology. The group has close ties to the School of Mathematics and Statistics and the Lancaster Data Science Institute, both of which have a reputation for excellence in statistical and computational research.
Lancaster University subscribes to the Researcher Development Concordat, and you will be fully supported in your professional and personal development. Lancaster University is committed to Equality, Diversity and Inclusion, and the Faculty of Health and Medicine holds a Silver Athena SWAN award. The Lancaster University Pre-School Centre is rated an Outstanding Provider by Ofsted and staff get preferential access to childcare places.
Informal inquiries about can be made to Dr Frank Dondelinger: f.dondelinger@lancaster.ac.uk
✔️ @ApplyTime
Jobs at Lancaster University
Job Opportunity at Lancaster University: Senior Research Associate in High-Dimensional Longitudinal Methods
The Centre for Health Informatics, Computation and Statistics at Lancaster University is recruiting a post-doctoral researcher to work on high-dimensional statistical methods for longitudinal population studies. You will join a three-year project...
Postdoc in privacy-preserving machine learning @ Helsinki
The Department of Computer Science, University of Helsinki invites
applications for 2 postdocs in privacy-preserving machine learning and
probabilistic modelling.
The positions are linked to the Privacy-preserving and Secure AI
research programme of the Finnish Center for Artificial Intelligence
FCAI, a national flagship research unit nominated by the Academy of
Finland.
The candidate should have a PhD in computer science, statistics or
related field with a publication record in high-level forums. Previous
experience with one or more of the following concepts is considered an
advantage: privacy-preserving and secure machine learning, Bayesian
inference, differential privacy.
The application deadline is 10 November.
More info
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The Department of Computer Science, University of Helsinki invites
applications for 2 postdocs in privacy-preserving machine learning and
probabilistic modelling.
The positions are linked to the Privacy-preserving and Secure AI
research programme of the Finnish Center for Artificial Intelligence
FCAI, a national flagship research unit nominated by the Academy of
Finland.
The candidate should have a PhD in computer science, statistics or
related field with a publication record in high-level forums. Previous
experience with one or more of the following concepts is considered an
advantage: privacy-preserving and secure machine learning, Bayesian
inference, differential privacy.
The application deadline is 10 November.
More info
✔️ @ApplyTime
15 funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior
Bonn, Germany & Jupiter, Florida (USA)
Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University.
The Projects
More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter.
Your Profile
Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Bachelor's or Master’s degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject. Fluency in written and spoken English. Research experience is of advantage.
Our Offer
Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants.
Application deadline: December 1, 2019
https://www.imprs-brain-behavior.org/admissions/application-info/
You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and trannoscripts. Only online applications accepted.
Short-listed candidates will be interviewed in February-March. Positions must be started within 6 months of selection.
All the best,
Ezgi Bulca
✔️ @ApplyTime
Bonn, Germany & Jupiter, Florida (USA)
Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University.
The Projects
More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter.
Your Profile
Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Bachelor's or Master’s degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject. Fluency in written and spoken English. Research experience is of advantage.
Our Offer
Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants.
Application deadline: December 1, 2019
https://www.imprs-brain-behavior.org/admissions/application-info/
You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and trannoscripts. Only online applications accepted.
Short-listed candidates will be interviewed in February-March. Positions must be started within 6 months of selection.
All the best,
Ezgi Bulca
✔️ @ApplyTime
IMPRS for Brain and Behavior
Faculty • IMPRS for Brain and Behavior
List of faculty members of IMPRS for Brain and Behavior in Bonn, Germany and Florida, USA.
Full-Time Research Assistant Position, University of Denver
I’d appreciate the information below and the attached PDF to be forwarded to the listserv.
_______________
Position Summary:
The Family and Child Neuroscience Lab (Principle Investigator: Pilyoung Kim, Ph.D. https://www.du.edu/ahss/psychology/fcnlab/) seeks exceptional candidates for a full-time research assistant position. The research assistant will assist with a grant-funded research project working with pregnant women, new mothers, and infants. We currently conduct a multi-year research project investigating the effects of prenatal poverty and cannabis use on brain development and mother-infant attachment. The research assistant will help schedule home/site visits; conduct home and brain scan visits including clinical interviews, behavioral assessments, and collecting biological samples & neuroimaging (fMRI & fNIRS) data of mothers and newborns; data entry and processing; supervising other researchers and project-relevant administrative tasks. The research experience will be an excellent fit for individuals who plan to apply for medical, nursing, neuroscience, clinical and developmental psychology graduate programs. This is a full-time position (i.e., up to 40 hours per week). The schedule requires flexible schedules including daytime hours and some evening/weekend availability.
Please see the pdf attachment for more information on how to apply for the position.
Sincerely,
Pilyoung Kim, Ph.D.
Associate Professor
Department of Psychology
University of Denver
✔️ @ApplyTime
I’d appreciate the information below and the attached PDF to be forwarded to the listserv.
_______________
Position Summary:
The Family and Child Neuroscience Lab (Principle Investigator: Pilyoung Kim, Ph.D. https://www.du.edu/ahss/psychology/fcnlab/) seeks exceptional candidates for a full-time research assistant position. The research assistant will assist with a grant-funded research project working with pregnant women, new mothers, and infants. We currently conduct a multi-year research project investigating the effects of prenatal poverty and cannabis use on brain development and mother-infant attachment. The research assistant will help schedule home/site visits; conduct home and brain scan visits including clinical interviews, behavioral assessments, and collecting biological samples & neuroimaging (fMRI & fNIRS) data of mothers and newborns; data entry and processing; supervising other researchers and project-relevant administrative tasks. The research experience will be an excellent fit for individuals who plan to apply for medical, nursing, neuroscience, clinical and developmental psychology graduate programs. This is a full-time position (i.e., up to 40 hours per week). The schedule requires flexible schedules including daytime hours and some evening/weekend availability.
Please see the pdf attachment for more information on how to apply for the position.
Sincerely,
Pilyoung Kim, Ph.D.
Associate Professor
Department of Psychology
University of Denver
✔️ @ApplyTime
www.du.edu
FCN Lab | University of Denver