Postdoc position in Toyota Technological Institute, Japan (TTI-J)
Post doctoral Research Fellow in Intelligent Information Media Laboratory,
Toyota Technological Institute, Japan (TTI-J)
https://www.toyota-ti.ac.jp/english/index.html
https://www.toyota-ti.ac.jp/english/employment/2019/09/000321.html
[Job details (duties, subject responsible for, etc.)]
Research on image/video procesing and recognition, and basic techniques for these fields (e.g., deep neural networks, unsupervised learning)
[Address of work location and other information]
Toyota Technological Institute
2-12-1, Hisakata, Tempaku, Nagoya 468-8511, JAPAN
[Starting date]
At the earliest possible date, after the employment contract is completed.
[Employment status]
Full-time（Nontenured）
Yearly contract: renewable up to 3 years if positively evaluated.
[Qualifications]
PhD in a related field
[Compensation]
Salary
JPY 350,000/month, excluding commuting expenses and partial support for housing
Social Insurances
Health Insurance, Pension(The Promotion and Mutual Aid Corporation for Private Schools of Japan), Unemployment Insurance, Worker's Accident Insurance
[Application method (including where to send documents)]
(1) CV, including the applicant's photograph, e-mail contact address, and the possible starting date of employment
(2) List of publications
(3) Summary of research achievements (about one page)
(4) Future plan of research and other activities (about one page)
(5) Name, affiliation, and e-mail address of two contact references
- Candidacy will not be considered unless the full documents are submitted.
- Interested applicants can submit the documents by either email with the subject line "Postdoc for intelligent information media" (PDF format is preferred) or postal mail with "Postdoc for intelligent information media" on the envelope; see the following address.
- The application documents will not be returned.
Professor Norimichi Ukita
Toyota Technological Institute
2-12-1 Hisakata, Tempaku-ku, Nagoya 468-8511, JAPAN
Phone: +81-52-809-1832
e-mail: ukita"AT"toyota-ti.ac.jp
(Please replace *AT* with @)
✔️ @ApplyTime
Post doctoral Research Fellow in Intelligent Information Media Laboratory,
Toyota Technological Institute, Japan (TTI-J)
https://www.toyota-ti.ac.jp/english/index.html
https://www.toyota-ti.ac.jp/english/employment/2019/09/000321.html
[Job details (duties, subject responsible for, etc.)]
Research on image/video procesing and recognition, and basic techniques for these fields (e.g., deep neural networks, unsupervised learning)
[Address of work location and other information]
Toyota Technological Institute
2-12-1, Hisakata, Tempaku, Nagoya 468-8511, JAPAN
[Starting date]
At the earliest possible date, after the employment contract is completed.
[Employment status]
Full-time（Nontenured）
Yearly contract: renewable up to 3 years if positively evaluated.
[Qualifications]
PhD in a related field
[Compensation]
Salary
JPY 350,000/month, excluding commuting expenses and partial support for housing
Social Insurances
Health Insurance, Pension(The Promotion and Mutual Aid Corporation for Private Schools of Japan), Unemployment Insurance, Worker's Accident Insurance
[Application method (including where to send documents)]
(1) CV, including the applicant's photograph, e-mail contact address, and the possible starting date of employment
(2) List of publications
(3) Summary of research achievements (about one page)
(4) Future plan of research and other activities (about one page)
(5) Name, affiliation, and e-mail address of two contact references
- Candidacy will not be considered unless the full documents are submitted.
- Interested applicants can submit the documents by either email with the subject line "Postdoc for intelligent information media" (PDF format is preferred) or postal mail with "Postdoc for intelligent information media" on the envelope; see the following address.
- The application documents will not be returned.
Professor Norimichi Ukita
Toyota Technological Institute
2-12-1 Hisakata, Tempaku-ku, Nagoya 468-8511, JAPAN
Phone: +81-52-809-1832
e-mail: ukita"AT"toyota-ti.ac.jp
(Please replace *AT* with @)
✔️ @ApplyTime
www.toyota-ti.ac.jp
Toyota Technological Institute
Toyota Technological Institute | English Page
Postdoctoral Position in Systems/Computational Neuroscience, Drexel University
A postdoctoral fellowship is available to conduct research with Drs. Hualou Liang and Vikas Bhandawat at Drexel University. The position is for a computational neuroscientist. Experience/Interest in performing experiments is a plus but not essential.
The research project is aimed at understanding neural control of movement – how descending neurons and thoracic (equivalent to spinal cord) motor circuits, and sensory feedback control the coordination of a fly’s leg and coordination between legs. Because each leg has many degrees of freedom, and there are 6 legs, the movement space is large. We will employ concepts from dynamical systems, statistical methods as well as machine learning/deep learning to discover latent structure from high-dimensional data, to extract movement states, and to understand how these states are regulated by interactions between behavioral demands (carried by descending inputs), current body configuration (computed by thoracic circuits based on past limb positions), and on-going sensory feedback (through proprioceptors and load feedback).
The successful candidate will have received a Ph.D. in a relevant discipline with substantial experience in Computational Neuroscience. The position will be largely computational, but there is an opportunity to perform a wide variety of experiments, including, in vivo whole-cell patch clamp, in vivo functional imaging, tethered/free behavioral assays in the Bhandawat lab.
The Liang Lab works on problems at the intersection of machine learning and neuroscience, with particular interest in using the tools of artificial intelligence to study brain function and other complex processes. The major thrust of the lab is computational. Our current research uses data science to advance a broad range of topics that include understanding brain function, discovering causal structure from observations, and using deep learning and natural language processing to ease the burden of generic drug review. For current projects, please visit https://liang-lab.org/research/.
The Bhandawat lab studies how animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics, and their environment. We use fruit flies (Drosophila melanogaster) as our model organism because they perform many complex behaviors with a relatively simple brain, and because of the many genetic tools that are available in the flies. We employ a multi-pronged approach which includes in vivo whole-cell patch clamp recordings, imaging, and quantitative measurement of behavior, biomechanics and computation. For more information on research conducted in the Bhandawat lab, please check our website at http://biomed.drexel.edu/labs/bhandawat/
To be considered for this position please send a CV and a letter describing research interest to Hualou Liang (hualou.liang@drexel.edu) and Vikas Bhandawat (vikas.bhandawat@drexel.edu).
Start date: Immediately
Funding mechanism: funded by a NIH grant.
Hualou Liang, PhD
Professor
School of Biomedical Engineering
Drexel University
✔️ @ApplyTime
A postdoctoral fellowship is available to conduct research with Drs. Hualou Liang and Vikas Bhandawat at Drexel University. The position is for a computational neuroscientist. Experience/Interest in performing experiments is a plus but not essential.
The research project is aimed at understanding neural control of movement – how descending neurons and thoracic (equivalent to spinal cord) motor circuits, and sensory feedback control the coordination of a fly’s leg and coordination between legs. Because each leg has many degrees of freedom, and there are 6 legs, the movement space is large. We will employ concepts from dynamical systems, statistical methods as well as machine learning/deep learning to discover latent structure from high-dimensional data, to extract movement states, and to understand how these states are regulated by interactions between behavioral demands (carried by descending inputs), current body configuration (computed by thoracic circuits based on past limb positions), and on-going sensory feedback (through proprioceptors and load feedback).
The successful candidate will have received a Ph.D. in a relevant discipline with substantial experience in Computational Neuroscience. The position will be largely computational, but there is an opportunity to perform a wide variety of experiments, including, in vivo whole-cell patch clamp, in vivo functional imaging, tethered/free behavioral assays in the Bhandawat lab.
The Liang Lab works on problems at the intersection of machine learning and neuroscience, with particular interest in using the tools of artificial intelligence to study brain function and other complex processes. The major thrust of the lab is computational. Our current research uses data science to advance a broad range of topics that include understanding brain function, discovering causal structure from observations, and using deep learning and natural language processing to ease the burden of generic drug review. For current projects, please visit https://liang-lab.org/research/.
The Bhandawat lab studies how animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics, and their environment. We use fruit flies (Drosophila melanogaster) as our model organism because they perform many complex behaviors with a relatively simple brain, and because of the many genetic tools that are available in the flies. We employ a multi-pronged approach which includes in vivo whole-cell patch clamp recordings, imaging, and quantitative measurement of behavior, biomechanics and computation. For more information on research conducted in the Bhandawat lab, please check our website at http://biomed.drexel.edu/labs/bhandawat/
To be considered for this position please send a CV and a letter describing research interest to Hualou Liang (hualou.liang@drexel.edu) and Vikas Bhandawat (vikas.bhandawat@drexel.edu).
Start date: Immediately
Funding mechanism: funded by a NIH grant.
Hualou Liang, PhD
Professor
School of Biomedical Engineering
Drexel University
✔️ @ApplyTime
Postdoctoral fellow (f/m/x) for the Molecular Pathology, Institute of Pathology and Department of Translational Genomics
Universitätsklinikum Köln (AöR) Köln
The University of Cologne offers a wide range of scientific disciplines and internationally leading profile areas organized in six faculties. At the Faculty of Medicine 1.800 scientists are engaged in research, ranging from basic sciences to clinical application, as well as teaching and health care. Together with the University Hospital Cologne the faculty maintains 58 clinics, research institutes and centres. 3.400 students study in this dynamic and innovative environment. The Faculty of Medicine and the University Hospital Cologne are embedded in the scientifically highly active Rhine region. They have strong contacts to and alliances with the surrounding universities and non-university research institutions guaranteeing scientific excellence in research and teaching.
The research group of Prof. Dr. med. Martin Sos (Molecular Pathology, Institute of Pathology and Department of Translational Genomics) is seeking applications for a full-time
Postdoctoral fellow (f/m/x)
within the CRC1399 “Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer”. This position is available immediately for 24 months (Third-party funding according to WissZeitVG) with a possibility of extension.
The main goal of our research efforts is to provide breakthrough medicine for cancer patients; our projects are centered on the functional understanding of molecular processes that modulate the response to cancer therapies. We employ state-of-the-art gain/loss-of-function experiments, genome and trannoscriptome sequencing as well as animal experiments to capture the cellular networks that modulate these processes. We combine cutting-edge computational biology methods with innovative molecular cell biology methods in order to make an impact on the development of novel cancer therapies.
Your profile:
Doctoral degree in a relevant field (e. g. biology, medicine, bioinformatics)
Profound knowledge of cancer cell biology
Prior research experience, documented by peer-reviewed publications in a relevant field
High degree of excitement and the ability to drive projects independently
Team spirit as well as excellent communication skills
We offer:
A multidisciplinary and innovative research environment
Intensive mentoring and support for your scientific career
Multiple interactions with global leaders, both from academia and industry
Participation in numerous seminars within the field of translational cancer biology
Our salary will be based on TV-L.
Suitably qualified women will be given preferential consideration unless other applicants clearly demonstrate superior qualifications. We also welcome applications from disabled candidates, who will also be given preferential consideration over other applicants with comparable qualifications. The position is suitable for staffing with part-time employees.
Please address telephone enquiries to Dr. Katia Garbert at +49 221 478-89848.
Further information is available here.
Have we awakened your interest? Please submit your application (including a detailed CV, list of publications, two references and a brief statement of research interests) here online www.uk-koeln.de/karriere/stellenangebote.
We prefer online applications, but you also have the opportunity to apply via regular mail quoting the reference number V000001537 to
Uniklinik Köln
Geschäftsbereich Personal
Bewerbugsmanagement
Ausschreibungsnummer V000001537
50924 Köln
✔️ @ApplyTime
Universitätsklinikum Köln (AöR) Köln
The University of Cologne offers a wide range of scientific disciplines and internationally leading profile areas organized in six faculties. At the Faculty of Medicine 1.800 scientists are engaged in research, ranging from basic sciences to clinical application, as well as teaching and health care. Together with the University Hospital Cologne the faculty maintains 58 clinics, research institutes and centres. 3.400 students study in this dynamic and innovative environment. The Faculty of Medicine and the University Hospital Cologne are embedded in the scientifically highly active Rhine region. They have strong contacts to and alliances with the surrounding universities and non-university research institutions guaranteeing scientific excellence in research and teaching.
The research group of Prof. Dr. med. Martin Sos (Molecular Pathology, Institute of Pathology and Department of Translational Genomics) is seeking applications for a full-time
Postdoctoral fellow (f/m/x)
within the CRC1399 “Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer”. This position is available immediately for 24 months (Third-party funding according to WissZeitVG) with a possibility of extension.
The main goal of our research efforts is to provide breakthrough medicine for cancer patients; our projects are centered on the functional understanding of molecular processes that modulate the response to cancer therapies. We employ state-of-the-art gain/loss-of-function experiments, genome and trannoscriptome sequencing as well as animal experiments to capture the cellular networks that modulate these processes. We combine cutting-edge computational biology methods with innovative molecular cell biology methods in order to make an impact on the development of novel cancer therapies.
Your profile:
Doctoral degree in a relevant field (e. g. biology, medicine, bioinformatics)
Profound knowledge of cancer cell biology
Prior research experience, documented by peer-reviewed publications in a relevant field
High degree of excitement and the ability to drive projects independently
Team spirit as well as excellent communication skills
We offer:
A multidisciplinary and innovative research environment
Intensive mentoring and support for your scientific career
Multiple interactions with global leaders, both from academia and industry
Participation in numerous seminars within the field of translational cancer biology
Our salary will be based on TV-L.
Suitably qualified women will be given preferential consideration unless other applicants clearly demonstrate superior qualifications. We also welcome applications from disabled candidates, who will also be given preferential consideration over other applicants with comparable qualifications. The position is suitable for staffing with part-time employees.
Please address telephone enquiries to Dr. Katia Garbert at +49 221 478-89848.
Further information is available here.
Have we awakened your interest? Please submit your application (including a detailed CV, list of publications, two references and a brief statement of research interests) here online www.uk-koeln.de/karriere/stellenangebote.
We prefer online applications, but you also have the opportunity to apply via regular mail quoting the reference number V000001537 to
Uniklinik Köln
Geschäftsbereich Personal
Bewerbugsmanagement
Ausschreibungsnummer V000001537
50924 Köln
✔️ @ApplyTime
Research Associate / PhD Student
Technische Universität Dresden Dresden
At the TU Dresden, Faculty of Mechanical Science and Engineering, the Institute of Power Engineering, Chair of Imaging Techniques in Energy and Process Engineering offers, subject to resources being available, a position as
Research Associate / PhD Student
(Subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting 01.01.2020. The position is limited for 3 years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz-WissZeitVG). Balancing family and career is an important issue. The post is basically suitable for candidates seeking part-time employment. The position offers the chance to obtain further academic qualification (e.g. PhD).
Activities and responsibilities
Development of a method for the measurement of axial and radial dispersion coefficients in multiphase contactors with the flow modulation technique. In detail, it comprises the following sub-tasks: familiarization with hydrodynamic modelling of reactors and contactors and measurement of characteristic parameters with methods using ionizing radiation and other signal carriers; uncertainty quantification for these measurement techniques based on given application scenarios; experimental qualification of the method of flow modulation for bubble columns and trickle bed reactors; further development of mathematical models for parameter estimation.
Qualification profile
excellent university degree (Diplom, Master), preferably in process engineering, energy engineering, mechanical engineering, electrical engineering, applied mathematics or physics; profound and readily available mathematics and physics knowledge; further knowledge in at least one of the fields: measurement techniques, system theory, frequency space analysis, mass transfer, process engineering; self-reliant scientific work within an interdisciplinary team; practical skills with respect to experimental work; active communication with scientific partners; profound English language skills.
Send application to
Applications from women are particularly welcome. The same applies to people with disabilities.
Please submit your comprehensive application including the usual documents by 04.12.2019 (stamped arrival date of the university central mail service applies) preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf document to uwe.hampel@tu-dresden.de or by mail to: TU Dresden, Fakultät Maschinenwesen, Institut für Energietechnik, Professur für Bildgebende Messverfahren für die Energie- und Verfahrenstechnik, Herrn Prof. Dr.-Ing. habil. Uwe Hampel, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https: //tu-dresden.de/karriere/datenschutzhinweis
✔️ @ApplyTime
Technische Universität Dresden Dresden
At the TU Dresden, Faculty of Mechanical Science and Engineering, the Institute of Power Engineering, Chair of Imaging Techniques in Energy and Process Engineering offers, subject to resources being available, a position as
Research Associate / PhD Student
(Subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting 01.01.2020. The position is limited for 3 years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz-WissZeitVG). Balancing family and career is an important issue. The post is basically suitable for candidates seeking part-time employment. The position offers the chance to obtain further academic qualification (e.g. PhD).
Activities and responsibilities
Development of a method for the measurement of axial and radial dispersion coefficients in multiphase contactors with the flow modulation technique. In detail, it comprises the following sub-tasks: familiarization with hydrodynamic modelling of reactors and contactors and measurement of characteristic parameters with methods using ionizing radiation and other signal carriers; uncertainty quantification for these measurement techniques based on given application scenarios; experimental qualification of the method of flow modulation for bubble columns and trickle bed reactors; further development of mathematical models for parameter estimation.
Qualification profile
excellent university degree (Diplom, Master), preferably in process engineering, energy engineering, mechanical engineering, electrical engineering, applied mathematics or physics; profound and readily available mathematics and physics knowledge; further knowledge in at least one of the fields: measurement techniques, system theory, frequency space analysis, mass transfer, process engineering; self-reliant scientific work within an interdisciplinary team; practical skills with respect to experimental work; active communication with scientific partners; profound English language skills.
Send application to
Applications from women are particularly welcome. The same applies to people with disabilities.
Please submit your comprehensive application including the usual documents by 04.12.2019 (stamped arrival date of the university central mail service applies) preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf document to uwe.hampel@tu-dresden.de or by mail to: TU Dresden, Fakultät Maschinenwesen, Institut für Energietechnik, Professur für Bildgebende Messverfahren für die Energie- und Verfahrenstechnik, Herrn Prof. Dr.-Ing. habil. Uwe Hampel, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https: //tu-dresden.de/karriere/datenschutzhinweis
✔️ @ApplyTime
TU Dresden
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4 year Post-doc position, entrepreneurship, scaling and medical technologies
Deadline: 01.12.2019
Do you want to study challenges to innovative medical technologies and healthcare services that are aiming to spread and scale their innovations across Norway and to international markets?
Entrepreneurs with proven new technologies and healthcare services that serve a broad range of patient needs, are faced with a variety of challenges when seeking to expand and accelerate their businesses and activities across the Norwegian healthcare system and to international markets. We have recently seen an increased number of public sector initiatives as well as entrepreneurial startups in these domains with interesting high potential solutions, and there is a particular need to generate more systematic knowledge about the problems of adaptation, spreading and scaling of such new technologies and services. The research must aim at publishing new and interesting insights at international research frontiers in high ranked journals.
More info
✔️ @ApplyTime
Deadline: 01.12.2019
Do you want to study challenges to innovative medical technologies and healthcare services that are aiming to spread and scale their innovations across Norway and to international markets?
Entrepreneurs with proven new technologies and healthcare services that serve a broad range of patient needs, are faced with a variety of challenges when seeking to expand and accelerate their businesses and activities across the Norwegian healthcare system and to international markets. We have recently seen an increased number of public sector initiatives as well as entrepreneurial startups in these domains with interesting high potential solutions, and there is a particular need to generate more systematic knowledge about the problems of adaptation, spreading and scaling of such new technologies and services. The research must aim at publishing new and interesting insights at international research frontiers in high ranked journals.
More info
✔️ @ApplyTime
Open Postdoc position at Inria SequeL, Lille (France)
Hello,
We are opening a postdoc position at Inria SequeL (France), under super-vision by OA Maillard. The topic is on adressing novel challenges in Reinforcement Learning theory. These challenges are inspired by an application of sequential decision making to biodiversity-preserving agriculture; the goal is to advance theory (regret minimization guarantees, etc) to answer some of these challenges, hence we expect an applicant with strong record of publications on basic research. Please contact O-A. Maillard with 3 of your main publications, CV, motivation letter and recommendation lette before March 2020.
https://team.inria.fr/sequel/
Best,
Odalric-ambrym Maillard
✔️ @ApplyTime
Hello,
We are opening a postdoc position at Inria SequeL (France), under super-vision by OA Maillard. The topic is on adressing novel challenges in Reinforcement Learning theory. These challenges are inspired by an application of sequential decision making to biodiversity-preserving agriculture; the goal is to advance theory (regret minimization guarantees, etc) to answer some of these challenges, hence we expect an applicant with strong record of publications on basic research. Please contact O-A. Maillard with 3 of your main publications, CV, motivation letter and recommendation lette before March 2020.
https://team.inria.fr/sequel/
Best,
Odalric-ambrym Maillard
✔️ @ApplyTime
Postdoctoral position in Artificial Intelligence
The Fondation Mathématique Jacques Hadamard (FMJH) and the Labex Mathématique Hadamard (LMH) offer one or two-year funding for talented students wishing to pursue a post-doctoral stay in one of the mathematics laboratories affiliated to the Foundation and Labex for the program “Mathematics in Artificial Intelligence” : CMAP et CMLS (Ecole Polytechnique) / CMLA (ENS Paris-Saclay) / Fédération de Mathématiques(Centrale-Supelec) / IPhT (CEA-Saclay) / LTCI (IMT) / LAG (IHES) / LaMME (UEVE) / LMO (Université Paris Sud) / LMV (UVSQ) / MaIAGE (INRA) / Mia Paris / UMA (ENSTA).
This program aims to develop mathematics at interfaces with artificial intelligence (in a broad sense) within the Paris-Saclay University, particularly in the following fields:
· Algebra (coding, cryptography, ...)
· Harmonic analysis (wavelets, ...)
· Mathematical logic (verification, proof, ...)
· Probabilities (information theory, stochastics, ...)
· Optimization
· Statistics (statistical learning, "data science", ...)
The salary is about 25,000 € net per year.
For further information on the LMH programs and the Fellowship.
To apply. Deadline: 1st december 2019.
Start of the contract: October 2020.
✔️ @ApplyTime
The Fondation Mathématique Jacques Hadamard (FMJH) and the Labex Mathématique Hadamard (LMH) offer one or two-year funding for talented students wishing to pursue a post-doctoral stay in one of the mathematics laboratories affiliated to the Foundation and Labex for the program “Mathematics in Artificial Intelligence” : CMAP et CMLS (Ecole Polytechnique) / CMLA (ENS Paris-Saclay) / Fédération de Mathématiques(Centrale-Supelec) / IPhT (CEA-Saclay) / LTCI (IMT) / LAG (IHES) / LaMME (UEVE) / LMO (Université Paris Sud) / LMV (UVSQ) / MaIAGE (INRA) / Mia Paris / UMA (ENSTA).
This program aims to develop mathematics at interfaces with artificial intelligence (in a broad sense) within the Paris-Saclay University, particularly in the following fields:
· Algebra (coding, cryptography, ...)
· Harmonic analysis (wavelets, ...)
· Mathematical logic (verification, proof, ...)
· Probabilities (information theory, stochastics, ...)
· Optimization
· Statistics (statistical learning, "data science", ...)
The salary is about 25,000 € net per year.
For further information on the LMH programs and the Fellowship.
To apply. Deadline: 1st december 2019.
Start of the contract: October 2020.
✔️ @ApplyTime
Postdoctoral position in Machine Learning and Clinical Informatics
Applications are invited for a postdoctoral research position in San Diego, CA, focused on application of Machine Learning/Deep Learning/Predictive Analytics in Medicine. Applicants must show an exceptional research track record, and hold a Ph.D. degree in Electrical Engineering, Computer Science, Statistics, or related fields. Applicants should have a solid background in cross-disciplinary application of signal processing and machine learning to clinical and neurophysiological signals and systems. To apply, please use the 'contact us' link (http://nematilab.info/openings.html), and briefly describe your research interests. This position is open to US Citizens and we encourage talented individuals from a diverse background to apply.
Keywords: postdoctoral, post-doctoral, postdoc, fellowship, Machine Learning, Deep Learning, Clinical Informatics
✔️ @ApplyTime
Applications are invited for a postdoctoral research position in San Diego, CA, focused on application of Machine Learning/Deep Learning/Predictive Analytics in Medicine. Applicants must show an exceptional research track record, and hold a Ph.D. degree in Electrical Engineering, Computer Science, Statistics, or related fields. Applicants should have a solid background in cross-disciplinary application of signal processing and machine learning to clinical and neurophysiological signals and systems. To apply, please use the 'contact us' link (http://nematilab.info/openings.html), and briefly describe your research interests. This position is open to US Citizens and we encourage talented individuals from a diverse background to apply.
Keywords: postdoctoral, post-doctoral, postdoc, fellowship, Machine Learning, Deep Learning, Clinical Informatics
✔️ @ApplyTime
www.nematilab.info
The Nemati Lab | Lab Openings in the Nemati Lab
Shamim Nemati is the principal investigator of the Nemati Lab at the UC San Diego Health.
ML PhD openings at UC-San Diego
My group (pengtaoxie.github.io) at the University of California San Diego is looking for PhD candidates in the area of machine learning. All the accepted PhD students are fully-funded. We encourage applications from outstanding candidates who are highly motivated and strongly interested in conducting fundamental research in machine learning and its applications in healthcare. We work on the models, algorithms, and theories of sample-efficient learning, interpretable learning, deep generative models, etc. and their applications in healthcare and medicine.
For further information, please refer to this page pengtaoxie.github.io
Applicants should have (or be expected to have) a degree in Computer Science, Electrical Engineering, Statistics, and other related fields. Practical experience (research projects, publications, industrial internships) in machine learning is strongly preferred.
If interested, feel free to contact me directly via pengtaoxie2008@gmail.com and mention in the personal statement that you are interested in working with me.
Application deadline: December 11th, 2019.
Application website: http://www.ece.ucsd.edu/index.php/graduate/graduate-admissions
Best,
Pengtao
✔️ @ApplyTime
My group (pengtaoxie.github.io) at the University of California San Diego is looking for PhD candidates in the area of machine learning. All the accepted PhD students are fully-funded. We encourage applications from outstanding candidates who are highly motivated and strongly interested in conducting fundamental research in machine learning and its applications in healthcare. We work on the models, algorithms, and theories of sample-efficient learning, interpretable learning, deep generative models, etc. and their applications in healthcare and medicine.
For further information, please refer to this page pengtaoxie.github.io
Applicants should have (or be expected to have) a degree in Computer Science, Electrical Engineering, Statistics, and other related fields. Practical experience (research projects, publications, industrial internships) in machine learning is strongly preferred.
If interested, feel free to contact me directly via pengtaoxie2008@gmail.com and mention in the personal statement that you are interested in working with me.
Application deadline: December 11th, 2019.
Application website: http://www.ece.ucsd.edu/index.php/graduate/graduate-admissions
Best,
Pengtao
✔️ @ApplyTime
Neuroscience postdoc at the University of Leicester, UK
Dear all,
The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans, performed in epileptic patients for curative surgery.
The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn
The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators.
Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn@le.ac.uk or 0116 252 3249.
To apply, please use this link: https://jobs.le.ac.uk/vacancies/vacancy-details.aspx?VacancyID=1393
The applications should include a curriculum vitae and a brief denoscription of their scientific interests
The closing date for the applications is 3rd December 2019.
Cheers,
Rodrigo
Rodrigo Quian Quiroga
Centre for Systems Neuroscience
University of Leicester
www.le.ac.uk/csn
✔️ @ApplyTime
Dear all,
The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans, performed in epileptic patients for curative surgery.
The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn
The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators.
Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn@le.ac.uk or 0116 252 3249.
To apply, please use this link: https://jobs.le.ac.uk/vacancies/vacancy-details.aspx?VacancyID=1393
The applications should include a curriculum vitae and a brief denoscription of their scientific interests
The closing date for the applications is 3rd December 2019.
Cheers,
Rodrigo
Rodrigo Quian Quiroga
Centre for Systems Neuroscience
University of Leicester
www.le.ac.uk/csn
✔️ @ApplyTime
University of Leicester
University of Leicester
Postdoctoral fellow in AI, and real time signal processing for Brain Computer Interface clinical application at CEA, Grenoble and Paris-Saclay, France
The post-doctoral fellowship will be carried out within the frame of the multidisciplinary project “Brain Computer Interface” (BCI) at CEA-LETI-CLINATEC, Grenoble, France, in collaboration with the Data Intelligence Service from CEA-LIST (Paris-Saclay), France. The goal of the BCI project is the proof of concept that it is possible to control complex effectors thanks to brain activity decoding. Motor BCI raises the hope that limb mobility may be restored for severely motor-impaired patients to regain autonomy, providing them with control over orthosis or prostheses.
The project is based on the recording of neuronal activity at the level of cerebral motor cortex (ElectroCorticoGrams, ECoG) with innovative wireless WIMAGINE® implant dedicated to the long term clinical use. A clinical research protocol « BCI and Tetraplegia » at CLINATEC® includes several tetraplegic subjects and is in progress. In this general frame, the project of partners CEA-LETI-CLINATEC and CEA-LIST “Enabling out-of-laboratory neuroprosthetics for severely motor-impaired patients using artificial intelligence”, is supported by Programme Transversal de Compétences « Simulation Numérique » of CEA.
The particular objective of the project is moving toward neuroprosthetics out-of-the-lab applications. This goal entails solving major challenges: increase number of Degrees of Freedom (DoF), improving accuracy and robustness of neural signal decoding to ensure usability of neuroprosthetics for real life tasks from one side, and providing a BCI system for constrained execution environments offered by portable devices from another side. One direction to improve decoding performances is to use recent advances in artificial neural networks. To ensure that the decoding algorithm is compatible with constrained environments, including the restrained CPU and memory costs such that real-time signal processing and decoding remains feasible, various strategies could be investigated.
Missions of post-doctoral fellow will include:
The experiment design and set up for real life tasks of using of neuroprosthesis by tetraplegic subject;
Design of innovative ANN decoding algorithms, the test and the comparison to conventional methods;
Optimization and implementation for real time application, integration to the Clinatec BCI platform;
A unique clinical trial ECoG database supports the project.
Initial contract duration is 12 months with possible prolongation (24 months at max), initial 12 months in CEA / DRT / LETI / CLINATEC, Grenoble and the next ones in CEA / DRT / List / DM2I / SID / LI3A, Saclay.
Profile of candidate: PhD or equivalent with strong knowledge in Machine learning, Deep learning, real time Signal processing (high dimensional data flow), with strong skills in Python, matlab.
Application: The candidates should send a CV, the names of 2 referees, and a cover letter to Dr. Tetiana AKSENOVA, tetiana.aksenova@cea.fr, Dr. Cedric GOUY-PAILLER, cedric.gouy-pailler@cea.fr, and Dr. Pierre BLANCHART, pierre.blanchart@cea.fr. The selected candidates will be interviewed for an expected start in March 2019.
✔️ @ApplyTime
The post-doctoral fellowship will be carried out within the frame of the multidisciplinary project “Brain Computer Interface” (BCI) at CEA-LETI-CLINATEC, Grenoble, France, in collaboration with the Data Intelligence Service from CEA-LIST (Paris-Saclay), France. The goal of the BCI project is the proof of concept that it is possible to control complex effectors thanks to brain activity decoding. Motor BCI raises the hope that limb mobility may be restored for severely motor-impaired patients to regain autonomy, providing them with control over orthosis or prostheses.
The project is based on the recording of neuronal activity at the level of cerebral motor cortex (ElectroCorticoGrams, ECoG) with innovative wireless WIMAGINE® implant dedicated to the long term clinical use. A clinical research protocol « BCI and Tetraplegia » at CLINATEC® includes several tetraplegic subjects and is in progress. In this general frame, the project of partners CEA-LETI-CLINATEC and CEA-LIST “Enabling out-of-laboratory neuroprosthetics for severely motor-impaired patients using artificial intelligence”, is supported by Programme Transversal de Compétences « Simulation Numérique » of CEA.
The particular objective of the project is moving toward neuroprosthetics out-of-the-lab applications. This goal entails solving major challenges: increase number of Degrees of Freedom (DoF), improving accuracy and robustness of neural signal decoding to ensure usability of neuroprosthetics for real life tasks from one side, and providing a BCI system for constrained execution environments offered by portable devices from another side. One direction to improve decoding performances is to use recent advances in artificial neural networks. To ensure that the decoding algorithm is compatible with constrained environments, including the restrained CPU and memory costs such that real-time signal processing and decoding remains feasible, various strategies could be investigated.
Missions of post-doctoral fellow will include:
The experiment design and set up for real life tasks of using of neuroprosthesis by tetraplegic subject;
Design of innovative ANN decoding algorithms, the test and the comparison to conventional methods;
Optimization and implementation for real time application, integration to the Clinatec BCI platform;
A unique clinical trial ECoG database supports the project.
Initial contract duration is 12 months with possible prolongation (24 months at max), initial 12 months in CEA / DRT / LETI / CLINATEC, Grenoble and the next ones in CEA / DRT / List / DM2I / SID / LI3A, Saclay.
Profile of candidate: PhD or equivalent with strong knowledge in Machine learning, Deep learning, real time Signal processing (high dimensional data flow), with strong skills in Python, matlab.
Application: The candidates should send a CV, the names of 2 referees, and a cover letter to Dr. Tetiana AKSENOVA, tetiana.aksenova@cea.fr, Dr. Cedric GOUY-PAILLER, cedric.gouy-pailler@cea.fr, and Dr. Pierre BLANCHART, pierre.blanchart@cea.fr. The selected candidates will be interviewed for an expected start in March 2019.
✔️ @ApplyTime
Postdoc position at Brown University School of Engineering
Brown Engineering is recruiting exceptionally talented researchers who have received their Ph.D. degree in engineering, or an engineering-related discipline, or who expect to do so by July 2020, and who aspire to create independent research and pursue careers as leaders of innovation.
While we will consider applications in all areas of our engineering programs, preference will be given for the 20-21 academic year in the fields of Electrical and Computer Engineering. This includes research in computer vision, machine learning, and robotics.
Successful candidates will be selected based on an evaluation of their promise as future academic leaders. They will be expected to carry out independent and collaborative research with engineering faculty members. They will also be expected to teach one course per year in the School, to help connect innovations in the research environment to concepts taught in courses, and to ensure they develop strong teaching skills prior to launching their faculty careers. Please see https://www.brown.edu/academics/engineering/employment/hibbitt-engineering-fellows-program for more information. If you are interested specifically in research in robotics, please contact Prof. Iris Bahar at iris_bahar@brown.edu for more information.
The Hibbitt Engineering Fellows will receive an annual salary plus benefits and an additional research and travel stipend. Anticipated start date for these full-time positions is in July 2020. Initial appointment is for one year, with expected renewal for second year given satisfactory progress.
Candidates must submit an application, CV, statement of research accomplishments, prospective research project summary, and three letters of reference. Prospective Fellows should also identify a Brown Engineering faculty member or a collaborating group of Engineering faculty to serve as mentor of the proposed research project. Please consult our research website: http://www.brown.edu/academics/engineering/research for detailed information.
--
R. Iris Bahar
Professor of Engineering & Computer Science
School of Engineering
Computer Science Department
Brown University
office: CIT 449
phone: 401-863-1430
website: http://vivo.brown.edu/display/rbahar
✔️ @ApplyTime
Brown Engineering is recruiting exceptionally talented researchers who have received their Ph.D. degree in engineering, or an engineering-related discipline, or who expect to do so by July 2020, and who aspire to create independent research and pursue careers as leaders of innovation.
While we will consider applications in all areas of our engineering programs, preference will be given for the 20-21 academic year in the fields of Electrical and Computer Engineering. This includes research in computer vision, machine learning, and robotics.
Successful candidates will be selected based on an evaluation of their promise as future academic leaders. They will be expected to carry out independent and collaborative research with engineering faculty members. They will also be expected to teach one course per year in the School, to help connect innovations in the research environment to concepts taught in courses, and to ensure they develop strong teaching skills prior to launching their faculty careers. Please see https://www.brown.edu/academics/engineering/employment/hibbitt-engineering-fellows-program for more information. If you are interested specifically in research in robotics, please contact Prof. Iris Bahar at iris_bahar@brown.edu for more information.
The Hibbitt Engineering Fellows will receive an annual salary plus benefits and an additional research and travel stipend. Anticipated start date for these full-time positions is in July 2020. Initial appointment is for one year, with expected renewal for second year given satisfactory progress.
Candidates must submit an application, CV, statement of research accomplishments, prospective research project summary, and three letters of reference. Prospective Fellows should also identify a Brown Engineering faculty member or a collaborating group of Engineering faculty to serve as mentor of the proposed research project. Please consult our research website: http://www.brown.edu/academics/engineering/research for detailed information.
--
R. Iris Bahar
Professor of Engineering & Computer Science
School of Engineering
Computer Science Department
Brown University
office: CIT 449
phone: 401-863-1430
website: http://vivo.brown.edu/display/rbahar
✔️ @ApplyTime
Post-doctoral position in skin image processing at Vanderbilt University / Nashville TN USA
Dear CVML list members,
Please circulate the attached flyer for a post-doctoral position in medical image processing.
The Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee is seeking motivated post-doctoral and other academically bound candidates to develop their translational research career in imaging of cutaneous manifestations of cancer and its treatments. Trainees in this well-funded program will enjoy a competitive salary, benefits, and ample resources to advance their career and research. Initial appointment will be for one year with annual renewal options. Multimodal dermatologic imaging techniques including 3D photography, hyperspectral imaging, and confocal microscopy, coupled to image analysis techniques including deep learning neural networks, will be applied in ongoing multicenter clinical trials and basic science.
Candidates will benefit from a personalized research program catered to their goals utilizing resources and mentoring within the Vanderbilt-Ingram Cancer Center (Madan Jagasia), Dermatology (Eric Tkaczyk), Computer Science (Benoit Dawant) and the Biophotonics Center within Biomedical Engineering (Anita Mahadevan-Jansen). This environment brings together clinicians, basic scientists, engineers and statisticians in close collaboration due to its interdisciplinary research and close physical proximity of the School of Medicine to the School of Engineering (100-200 yards). Example publication: https://www.nature.com/articles/s41409-018-0211-8
Application and contact:
Interested applicants are requested to mail their CV, a one-page personal statement, and two letters of recommendation with reference phone numbers and email addresses to:
VCICrecruit@gmail.com
Eric Tkaczyk, MD, PhD, FAAD
Director, Vanderbilt Dermatology Translational Research Clinic (VDTRC.org)
Assistant Professor, Dermatology, VUMC
Assistant Professor, Biomedical Engineering, Vanderbilt University
✔️ @ApplyTime
Dear CVML list members,
Please circulate the attached flyer for a post-doctoral position in medical image processing.
The Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee is seeking motivated post-doctoral and other academically bound candidates to develop their translational research career in imaging of cutaneous manifestations of cancer and its treatments. Trainees in this well-funded program will enjoy a competitive salary, benefits, and ample resources to advance their career and research. Initial appointment will be for one year with annual renewal options. Multimodal dermatologic imaging techniques including 3D photography, hyperspectral imaging, and confocal microscopy, coupled to image analysis techniques including deep learning neural networks, will be applied in ongoing multicenter clinical trials and basic science.
Candidates will benefit from a personalized research program catered to their goals utilizing resources and mentoring within the Vanderbilt-Ingram Cancer Center (Madan Jagasia), Dermatology (Eric Tkaczyk), Computer Science (Benoit Dawant) and the Biophotonics Center within Biomedical Engineering (Anita Mahadevan-Jansen). This environment brings together clinicians, basic scientists, engineers and statisticians in close collaboration due to its interdisciplinary research and close physical proximity of the School of Medicine to the School of Engineering (100-200 yards). Example publication: https://www.nature.com/articles/s41409-018-0211-8
Application and contact:
Interested applicants are requested to mail their CV, a one-page personal statement, and two letters of recommendation with reference phone numbers and email addresses to:
VCICrecruit@gmail.com
Eric Tkaczyk, MD, PhD, FAAD
Director, Vanderbilt Dermatology Translational Research Clinic (VDTRC.org)
Assistant Professor, Dermatology, VUMC
Assistant Professor, Biomedical Engineering, Vanderbilt University
✔️ @ApplyTime
Bone Marrow Transplantation
Overcoming human disagreement assessing erythematous lesion severity on 3D photos of chronic graft-versus-host disease
Overcoming human disagreement assessing erythematous lesion severity on 3D photos of chronic graft-versus-host disease
Open Postdoc position at Inria SequeL, Lille (France)
Hello,
We are opening a postdoc position at Inria SequeL (France), under super-vision by OA Maillard. The topic is on adressing novel challenges in Reinforcement Learning theory. These challenges are inspired by an application of sequential decision making to biodiversity-preserving agriculture; the goal is to advance theory (regret minimization guarantees, etc) to answer some of these challenges, hence we expect an applicant with strong record of publications on basic research. Please contact O-A. Maillard with 3 of your main publications, CV, motivation letter and recommendation lette before March 2019.
https://team.inria.fr/sequel/
Best,
Odalric-ambrym Maillard
✔️ @ApplyTime
Hello,
We are opening a postdoc position at Inria SequeL (France), under super-vision by OA Maillard. The topic is on adressing novel challenges in Reinforcement Learning theory. These challenges are inspired by an application of sequential decision making to biodiversity-preserving agriculture; the goal is to advance theory (regret minimization guarantees, etc) to answer some of these challenges, hence we expect an applicant with strong record of publications on basic research. Please contact O-A. Maillard with 3 of your main publications, CV, motivation letter and recommendation lette before March 2019.
https://team.inria.fr/sequel/
Best,
Odalric-ambrym Maillard
✔️ @ApplyTime
PhD funding opportunities in Motivation and Decision neuroscience at the University of Birmingham, UK
The Motivation and Social Neuroscience lab (MSN; www.msn-lab.com) is looking for motivated and enthusiastic PhD candidates, interested in the neural mechanisms underlying motivation and decision-making, to start in October 2020.
We aim to address questions such as: Why does the brain find things effortful? Why do we experience fatigue? how do they impact motivation and decisions? and how do people make decisions during social interactions? MSN is funded by a £1.25m BBSRC David Phillips Fellowship, and is moving from Oxford University to the brand new, £25m Centre for Human Brain Health at the University of Birmingham in summer 2020.
Funding for projects is available through two competitive schemes (links below), using a range of techniques including pharmacology, fMRI, and MEG in healthy people, as well as testing in clinical populations (Parkinson’s Disease). Projects will be conducted in collaboration with Prof. Ole Jensen, Dr. Joe Galea and Dr. Patricia Lockwood
Eligible*, interested candidates should get in contact with Dr. Apps (matthew.apps@psy.ox.ac.uk) with a copy of their CV before the deadline and applying.
https://www.findaphd.com/phds/project/neural-computational-and-psychological-basis-of-motivation-and-decision-making-in-health-and-disease/?p115328
https://www.findaphd.com/phds/project/neurobiological-basis-of-social-decision-making/?p115962
*Please note each scheme has different deadlines and eligibility criteria
--
Matthew Apps, PhD.
BBSRC Fellow &
University Research Lecturer
✔️ @ApplyTime
The Motivation and Social Neuroscience lab (MSN; www.msn-lab.com) is looking for motivated and enthusiastic PhD candidates, interested in the neural mechanisms underlying motivation and decision-making, to start in October 2020.
We aim to address questions such as: Why does the brain find things effortful? Why do we experience fatigue? how do they impact motivation and decisions? and how do people make decisions during social interactions? MSN is funded by a £1.25m BBSRC David Phillips Fellowship, and is moving from Oxford University to the brand new, £25m Centre for Human Brain Health at the University of Birmingham in summer 2020.
Funding for projects is available through two competitive schemes (links below), using a range of techniques including pharmacology, fMRI, and MEG in healthy people, as well as testing in clinical populations (Parkinson’s Disease). Projects will be conducted in collaboration with Prof. Ole Jensen, Dr. Joe Galea and Dr. Patricia Lockwood
Eligible*, interested candidates should get in contact with Dr. Apps (matthew.apps@psy.ox.ac.uk) with a copy of their CV before the deadline and applying.
https://www.findaphd.com/phds/project/neural-computational-and-psychological-basis-of-motivation-and-decision-making-in-health-and-disease/?p115328
https://www.findaphd.com/phds/project/neurobiological-basis-of-social-decision-making/?p115962
*Please note each scheme has different deadlines and eligibility criteria
--
Matthew Apps, PhD.
BBSRC Fellow &
University Research Lecturer
✔️ @ApplyTime
Applications are invited for a 3-4 year PhD fellowship available at the Department of Psychology, University of Oslo.
The position is open for candidates with a Master’s degree in Psychology, Cognitive Neuroscience, or other relevant areas.
The successful applicant will join the MICC-Lab, led by Prof. René Huster, which is part of the Section for Cognitive and Clinical Neuroscience.
The MICC-Lab studies the neural foundations of cognitive control, with a focus on action cancellation, usually by means of multimodal measurements (using EEG, MRI, EMG, pupillometry etc. in various combinations). The lab further applies methods for the neuromodulation of cognitive processes (e.g., transcranial stimulation or brain-computer interfaces).
More info
✔️ @ApplyTime
The position is open for candidates with a Master’s degree in Psychology, Cognitive Neuroscience, or other relevant areas.
The successful applicant will join the MICC-Lab, led by Prof. René Huster, which is part of the Section for Cognitive and Clinical Neuroscience.
The MICC-Lab studies the neural foundations of cognitive control, with a focus on action cancellation, usually by means of multimodal measurements (using EEG, MRI, EMG, pupillometry etc. in various combinations). The lab further applies methods for the neuromodulation of cognitive processes (e.g., transcranial stimulation or brain-computer interfaces).
More info
✔️ @ApplyTime
Jobbnorge.no
Doctoral research fellow (178265) | University of Oslo
Job noscript: Doctoral research fellow (178265), Employer: University of Oslo, Deadline: The application deadline has passed
PhD Research Fellows In Popular Music
JOB DESCRIPTION
About the positions
The University of Agder, Faculty of Fine Arts, invites applications for up to 6 positions as PhD Research Fellow in Popular Music at the Department of Popular Music for a period of three years, or four years with 25% required duties. At present, the position is located at Campus Kristiansand. Starting date by appointment.
The Faculty of Fine Arts is comprised of 3 departments; The Department of Popular Music, The Department of Classical Music and Music Education, and The Department of Visual Arts and Drama. The Faculty has approximately 550 students and 90 members of staff employed in academic positions. The Faculty of Fine Arts. The Faculty offers several Master’s- and bachelor’s programmes within fine arts, among them a Master’s in Electronic Music. The PhD programme has two specialisations, one within Popular Music Performance and one within “Art in context”.
More info
✔️ @ApplyTime
JOB DESCRIPTION
About the positions
The University of Agder, Faculty of Fine Arts, invites applications for up to 6 positions as PhD Research Fellow in Popular Music at the Department of Popular Music for a period of three years, or four years with 25% required duties. At present, the position is located at Campus Kristiansand. Starting date by appointment.
The Faculty of Fine Arts is comprised of 3 departments; The Department of Popular Music, The Department of Classical Music and Music Education, and The Department of Visual Arts and Drama. The Faculty has approximately 550 students and 90 members of staff employed in academic positions. The Faculty of Fine Arts. The Faculty offers several Master’s- and bachelor’s programmes within fine arts, among them a Master’s in Electronic Music. The PhD programme has two specialisations, one within Popular Music Performance and one within “Art in context”.
More info
✔️ @ApplyTime
A fixed-term 100% position is available at the University of Agder, Faculty of Engineering and Science as a PhD Research Fellow, affiliated to the Department of Information and Communication Technology, for a period of 3 years. The position is located at Campus Grimstad. The starting date is as soon as possible or to be negotiated with the Faculty.
The Department of ICT has three large and active research groups in Information and Communication Technology including 8 Professors, 20 Associate Professors/Assistant professors and about 20 Research Fellows on the PhD programme in ICT. The Department of ICT pursues a variety of research interests, focusing especially on ICT and crisis management, artificial intelligence, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes FP7 and H2020 as well as national and international industries.
More info
✔️ @ApplyTime
The Department of ICT has three large and active research groups in Information and Communication Technology including 8 Professors, 20 Associate Professors/Assistant professors and about 20 Research Fellows on the PhD programme in ICT. The Department of ICT pursues a variety of research interests, focusing especially on ICT and crisis management, artificial intelligence, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes FP7 and H2020 as well as national and international industries.
More info
✔️ @ApplyTime
Multiple Postdoc positions in Neuroscience, Computational neuroscience or optical physics in the Scott Lab at the University of Queensland, Australia
The Scott Lab at the Queensland Brain Institute within the University of Queensland, Brisbane, Australia is looking for multiple postdocs.
The Laboratory for Neural Circuits and Behaviour (led by Assoc. Prof. Ethan Scott) uses a very broad experimental platform, ranging from optical physics to mathematics, to discover and describe brain function and behaviour. This work hinges on brain-wide cellular-resolution calcium imaging in the zebrafish model system, complemented by anatomical denoscriptions, targeted optogenetic manipulations, mathematical modelling, and behavioural analysis. Our goals are both basic (the elucidation of sensory pathways) and translational (the circuit-level modelling of autism endophenotypes), and we welcome new members with either focus. This work is challenging and rewarding, and best suited to researchers who value broad, interdisciplinary approaches to big questions in neuroscience. Culturally, our lab values diversity in all of its forms, and cultivates a mutually supportive and collaborative atmosphere
The primary purpose of this opportunity will be to design, conduct and analyse experiments and research to understand functional neural circuitry in the zebrafish model system. Optical physicists, neuroscientists, and mathematicians welcome!
A PhD in engineering, physics, neuroscience, mathematics, or relevant related fields is essential to the role. A strong track record in optical physics/engineering, neuroscience, calcium imaging, image analysis or the mathematical modelling of complex systems will be integral to success in the position.
These positions are for three years with possibility of extensions
Questions can be adressed to Assoc. Prof. Ethan Scott (ethan.scott@uq.edu.au).
Applications should be done through
Kind regards,
Gilles Vanwalleghem, PhD
Scott Lab
Queensland Brain Institute
The University of Queensland
Brisbane, Australia
✔️ @ApplyTime
The Scott Lab at the Queensland Brain Institute within the University of Queensland, Brisbane, Australia is looking for multiple postdocs.
The Laboratory for Neural Circuits and Behaviour (led by Assoc. Prof. Ethan Scott) uses a very broad experimental platform, ranging from optical physics to mathematics, to discover and describe brain function and behaviour. This work hinges on brain-wide cellular-resolution calcium imaging in the zebrafish model system, complemented by anatomical denoscriptions, targeted optogenetic manipulations, mathematical modelling, and behavioural analysis. Our goals are both basic (the elucidation of sensory pathways) and translational (the circuit-level modelling of autism endophenotypes), and we welcome new members with either focus. This work is challenging and rewarding, and best suited to researchers who value broad, interdisciplinary approaches to big questions in neuroscience. Culturally, our lab values diversity in all of its forms, and cultivates a mutually supportive and collaborative atmosphere
The primary purpose of this opportunity will be to design, conduct and analyse experiments and research to understand functional neural circuitry in the zebrafish model system. Optical physicists, neuroscientists, and mathematicians welcome!
A PhD in engineering, physics, neuroscience, mathematics, or relevant related fields is essential to the role. A strong track record in optical physics/engineering, neuroscience, calcium imaging, image analysis or the mathematical modelling of complex systems will be integral to success in the position.
These positions are for three years with possibility of extensions
Questions can be adressed to Assoc. Prof. Ethan Scott (ethan.scott@uq.edu.au).
Applications should be done through
Kind regards,
Gilles Vanwalleghem, PhD
Scott Lab
Queensland Brain Institute
The University of Queensland
Brisbane, Australia
✔️ @ApplyTime
UQ Jobs
Postdoctoral Research Fellow - Jobs - The University of Queensland
View current academic, research and professional vacancies and apply online. UQ Jobs, University of Queensland
University of Sussex funded PhD positions: Leverhulme Doctoral Scholarship Programme, “From Sensation and Perception to Awareness”
Dear colleagues,
We are inviting applications for our Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020. Could you please kindly distribute to interested students.
Thank you
Best wishes
Miguel Maravall
✔️ @ApplyTime
Dear colleagues,
We are inviting applications for our Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020. Could you please kindly distribute to interested students.
Thank you
Best wishes
Miguel Maravall
✔️ @ApplyTime
PhD position in computational neuroscience/brain physics in Oslo Norway
PhD-position in Computational Neuroscience/Brain Physics in Oslo, Norway
Applications are invited for a position as PhD Research Fellow available at the Department of Biosciences in the research group of Professors Gaute Einevoll and Marianne Fyhn at CINPLA. The position is funded by the UiO:Life Science Initiative, Convergence Environments to the project ”MultiModal Mental Models: converging approaches from genomes to mental illness and interplay with psychosocial stressors (4MENT)”.
The successful candidate will work on model-based exploration of cortical neuron and neural network models, in particular effects of genetic variants on neural functions. The modeling work will be carried out in collaboration with statistical geneticists as well as researchers working with stem cells and brain imaging. The goal of the project is to build models for mental phenotypes that are relevant in schizophrenia and bipolar disorder.
The candidate will work in the cross-disciplinary environment Center for Integrative Neuroplasticity (cinpla.org), a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources.
The fellowships will be for a period of 3 years, with no compulsory work, or for a period of 4 years, with 25 % compulsory work at the UiO:LifeScience. Anticipated start date is Winter/Spring 2020. The research fellow must take part in the Faculty’s appproved PhD program and is expected to complete the project within the set fellowship period.
Requirements:
Master’s degree in physics, mathematics, or computer science. The Master thesis should preferably have been done within computational neuroscience, but also candidates with master projects in other branches of computational science may be considered.
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
The candidate must have demonstrated strong skills in developing codes for scientific computing.
A good command of English is required.
For more information, including on how to apply, see
Deadline for application: December 18th 2019
For questions, please contact professor Gaute T. Einevoll, gaute.einevoll@fys.uio.no.
**********************************************
Professor Gaute T. Einevoll
Faculty of Science and Technology
Norwegian University of Life Sciences, 1432 Aas, Norway;
Department of Physics, University of Oslo, Oslo, Norway
✔️ @ApplyTime
PhD-position in Computational Neuroscience/Brain Physics in Oslo, Norway
Applications are invited for a position as PhD Research Fellow available at the Department of Biosciences in the research group of Professors Gaute Einevoll and Marianne Fyhn at CINPLA. The position is funded by the UiO:Life Science Initiative, Convergence Environments to the project ”MultiModal Mental Models: converging approaches from genomes to mental illness and interplay with psychosocial stressors (4MENT)”.
The successful candidate will work on model-based exploration of cortical neuron and neural network models, in particular effects of genetic variants on neural functions. The modeling work will be carried out in collaboration with statistical geneticists as well as researchers working with stem cells and brain imaging. The goal of the project is to build models for mental phenotypes that are relevant in schizophrenia and bipolar disorder.
The candidate will work in the cross-disciplinary environment Center for Integrative Neuroplasticity (cinpla.org), a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources.
The fellowships will be for a period of 3 years, with no compulsory work, or for a period of 4 years, with 25 % compulsory work at the UiO:LifeScience. Anticipated start date is Winter/Spring 2020. The research fellow must take part in the Faculty’s appproved PhD program and is expected to complete the project within the set fellowship period.
Requirements:
Master’s degree in physics, mathematics, or computer science. The Master thesis should preferably have been done within computational neuroscience, but also candidates with master projects in other branches of computational science may be considered.
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
The candidate must have demonstrated strong skills in developing codes for scientific computing.
A good command of English is required.
For more information, including on how to apply, see
Deadline for application: December 18th 2019
For questions, please contact professor Gaute T. Einevoll, gaute.einevoll@fys.uio.no.
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Professor Gaute T. Einevoll
Faculty of Science and Technology
Norwegian University of Life Sciences, 1432 Aas, Norway;
Department of Physics, University of Oslo, Oslo, Norway
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PhD Research Fellowship in computational neuroscience/brain physics (178653) | University of Oslo
Job noscript: PhD Research Fellowship in computational neuroscience/brain physics (178653), Employer: University of Oslo, Deadline: Wednesday, December 18, 2019