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.
**********************************************
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
Jobbnorge.no
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
Postdoc position at the SimLab Neuroscience, Juelich, Germany
Dear colleagues,
We have a postdoc position available in the SimLab Neuroscience at the Juelich Supercomputing Centre, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing an HPC-amenable neuronal simulator and engaging with the neuroscience community.
For a full denoscription and details of how to apply, please see the announcement on our website:
Best regards,
Boris Orth
✔️ @ApplyTime
Dear colleagues,
We have a postdoc position available in the SimLab Neuroscience at the Juelich Supercomputing Centre, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing an HPC-amenable neuronal simulator and engaging with the neuroscience community.
For a full denoscription and details of how to apply, please see the announcement on our website:
Best regards,
Boris Orth
✔️ @ApplyTime
www.fz-juelich.de
Forschungszentrum Jülich - Stellenangebote - Scientific Software Developer with a focus on neuroscience community engagement
PostDoc position in conversational search at The University of Queensland
We are seeking a Postdoctoral Research Fellow that will contribute to innovative research developments within the scope of conversational search. The project the postdoc will be assigned to aims to identify how conversational agents might help answer grain growers and farmers’ questions and make better farming decisions.
The position is part of a newly funded research project that involves researchers at the University of Queensland, the CSIRO, and the Queensland Government Department of Agriculture and Fisheries.
The postdoc will be part of the ielab team (http://ielab.io), in the School of Information Technology and Electrical Engineering (UQ).
This position is located at our St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.
Details About the Project
Valuable grains R&D output is currently locked away into project reports, communications and scientific publications. This text-based information is not easily discoverable and synthesised. Thus growers are not able to put into practice these valuable insights. This project will develop a conversational agent (AskAg) that will provide personalised access to this valuable information leading directly to better, data-driven growing decisions. Through question-answering systems, AgAsk will elicit and understand growers information needs and preferences, providing contextualised access to insights in Ag R&D.
AgAsk will use state-of-the-art IR, NLP and ML technology to interpret natural language questions. Ag R&D resources will be mined from textual information and converted into a knowledge graph capturing key agricultural concepts and relations (e.g. protozoa --effective_for--> control of pest molluscs). AgAsk will use this knowledge graph to formulate contextualised and interpretable answers to a growers question (e.g. via abstractive summarisation and answer generation).
Our Ideal Candidate
Successful applicants should possess a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data.
You should have demonstrated expert knowledge in relevant empirical research methods, including Knowledge Graph creation, question answering, answer generation and ranking, abstractive summarisation, interactive information retrieval, intent understanding, user-based evaluation (evaluation of IR systems with users). Research experience with conversational search and conversational agents, domain-specific search, and task-based retrieval will be beneficial and highly regarded.
You would have a demonstrated publication record in quality research outlets in relevant fields; examples include ACM SIGIR, ACM WSDM, The Web Conf, ACL, NAACL-HLT, EMNLP, AAAI, ACM TOIS, ACM TIST, TACL.
You would also have showcased ability to successfully work in a research team to deliver outputs to industry and outstanding effective communication and interpersonal skills.
What We Can Offer
This is a full-time, fixed term appointment for 2 years at Academic level A. The remuneration package will be in the range $84,878 - $90,982p.a, plus employer superannuation contributions of up to 17% (total package will be in the range $99,307 - $106,449p.a.)
You will be able to take advantage of UQ Sport Facilities, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.
How do I apply?
For more information and to express your interest in this position, please contact Dr Guido Zuccon at g.zuccon@uq.edu.au ASAP.
Dr Guido Zuccon
Senior Lecturer & ARC DECRA Fellow
School of Information Technology and Electrical Engineering
✔️ @ApplyTime
We are seeking a Postdoctoral Research Fellow that will contribute to innovative research developments within the scope of conversational search. The project the postdoc will be assigned to aims to identify how conversational agents might help answer grain growers and farmers’ questions and make better farming decisions.
The position is part of a newly funded research project that involves researchers at the University of Queensland, the CSIRO, and the Queensland Government Department of Agriculture and Fisheries.
The postdoc will be part of the ielab team (http://ielab.io), in the School of Information Technology and Electrical Engineering (UQ).
This position is located at our St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.
Details About the Project
Valuable grains R&D output is currently locked away into project reports, communications and scientific publications. This text-based information is not easily discoverable and synthesised. Thus growers are not able to put into practice these valuable insights. This project will develop a conversational agent (AskAg) that will provide personalised access to this valuable information leading directly to better, data-driven growing decisions. Through question-answering systems, AgAsk will elicit and understand growers information needs and preferences, providing contextualised access to insights in Ag R&D.
AgAsk will use state-of-the-art IR, NLP and ML technology to interpret natural language questions. Ag R&D resources will be mined from textual information and converted into a knowledge graph capturing key agricultural concepts and relations (e.g. protozoa --effective_for--> control of pest molluscs). AgAsk will use this knowledge graph to formulate contextualised and interpretable answers to a growers question (e.g. via abstractive summarisation and answer generation).
Our Ideal Candidate
Successful applicants should possess a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data.
You should have demonstrated expert knowledge in relevant empirical research methods, including Knowledge Graph creation, question answering, answer generation and ranking, abstractive summarisation, interactive information retrieval, intent understanding, user-based evaluation (evaluation of IR systems with users). Research experience with conversational search and conversational agents, domain-specific search, and task-based retrieval will be beneficial and highly regarded.
You would have a demonstrated publication record in quality research outlets in relevant fields; examples include ACM SIGIR, ACM WSDM, The Web Conf, ACL, NAACL-HLT, EMNLP, AAAI, ACM TOIS, ACM TIST, TACL.
You would also have showcased ability to successfully work in a research team to deliver outputs to industry and outstanding effective communication and interpersonal skills.
What We Can Offer
This is a full-time, fixed term appointment for 2 years at Academic level A. The remuneration package will be in the range $84,878 - $90,982p.a, plus employer superannuation contributions of up to 17% (total package will be in the range $99,307 - $106,449p.a.)
You will be able to take advantage of UQ Sport Facilities, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.
How do I apply?
For more information and to express your interest in this position, please contact Dr Guido Zuccon at g.zuccon@uq.edu.au ASAP.
Dr Guido Zuccon
Senior Lecturer & ARC DECRA Fellow
School of Information Technology and Electrical Engineering
✔️ @ApplyTime
Up to 3 fully-funded PhD Positions for Machine Learning for Robot Manipulation funded by Bosch @ University of Tübingen, Germany
Dear all,
At the BCAI at Bosch, we are building a new group for machine learning for robot manipulation. The group is located at the University of Tübingen and led by Prof. Gerhard Neumann. The BCAI is a leading lab in machine learning and artificial intelligence which regularly publishes at top venues such as NIPS and ICML. Our aspiration for the new group is to become one of the leading robotics groups in world. We aim to make robot manipulation useable in the real world, such as cluttered unknown environments consisting of unknown, possibly deformable objects where fine and forceful manipulations need to be applied to the scene such as object assembly. Our research will be focused on the development of new learning algorithms that are useable in these scenarios.
We are looking for new PhD students in the following areas:
* Deep learning methods for robot vision and robot control
* Model-based and model-free deep reinforcement learning
* Imitation learning and inverse reinforcement learning
* Hierarchical reinforcement learning
* Uncertainty quantification in deep learning models
* Learning from human feedback
* Information-theoretic learning methods
* Efficient robot movement representations
* Skill libraries and hierarchical skill learning
* Teleoperation and shared control for user guidance
Your profile:
* Personality: highly motivated to work on these challenging topics and develop a personal research agenda
* Working Practice: team-oriented, open-minded and inquisitive
* Experience and Knowledge: excellent skills in Python, ROS, C++ or Matlab and excellent math skills, knowledge in the areas of machine learning and robotics is preferential
* Languages: very good in English (written and spoken)
* Education: excellent degree (Master) in computer science, electrical engineering, mechanical engineering, math or related fields with excellent marks.
For questions concerning the positions, please contact Gerhard Neumann (Gerhard.Neumann@de.bosch.com).
Please apply at: https://smrtr.io/3CQXQ
Mit freundlichen Grüßen / Best regards
Gerhard Neumann
Information Theoretic Reinforcement Learning (CR/PJ-AI-R33)
Gerhard.Neumann@de.bosch.com
✔️ @ApplyTime
Dear all,
At the BCAI at Bosch, we are building a new group for machine learning for robot manipulation. The group is located at the University of Tübingen and led by Prof. Gerhard Neumann. The BCAI is a leading lab in machine learning and artificial intelligence which regularly publishes at top venues such as NIPS and ICML. Our aspiration for the new group is to become one of the leading robotics groups in world. We aim to make robot manipulation useable in the real world, such as cluttered unknown environments consisting of unknown, possibly deformable objects where fine and forceful manipulations need to be applied to the scene such as object assembly. Our research will be focused on the development of new learning algorithms that are useable in these scenarios.
We are looking for new PhD students in the following areas:
* Deep learning methods for robot vision and robot control
* Model-based and model-free deep reinforcement learning
* Imitation learning and inverse reinforcement learning
* Hierarchical reinforcement learning
* Uncertainty quantification in deep learning models
* Learning from human feedback
* Information-theoretic learning methods
* Efficient robot movement representations
* Skill libraries and hierarchical skill learning
* Teleoperation and shared control for user guidance
Your profile:
* Personality: highly motivated to work on these challenging topics and develop a personal research agenda
* Working Practice: team-oriented, open-minded and inquisitive
* Experience and Knowledge: excellent skills in Python, ROS, C++ or Matlab and excellent math skills, knowledge in the areas of machine learning and robotics is preferential
* Languages: very good in English (written and spoken)
* Education: excellent degree (Master) in computer science, electrical engineering, mechanical engineering, math or related fields with excellent marks.
For questions concerning the positions, please contact Gerhard Neumann (Gerhard.Neumann@de.bosch.com).
Please apply at: https://smrtr.io/3CQXQ
Mit freundlichen Grüßen / Best regards
Gerhard Neumann
Information Theoretic Reinforcement Learning (CR/PJ-AI-R33)
Gerhard.Neumann@de.bosch.com
✔️ @ApplyTime
Bosch Group
Bosch Group is looking for a PhD - Machine Learning for Robot Manipulation in Robert-Bosch-Campus 1, 71272 Renningen, Germany
Fully funded Ph.D. student position of the Research Training Group "3D Tissue Models for Studying Microbial Infections by Human Pathogens" (RTG 2157)
Universität Würzburg, Lehrstuhl für Mikrobiologie Würzburg
The Research Training Group (RTG 2157), started in April 2016, integrates the long-standing expertise in infectious diseases at the University of Würzburg and new technologies into an exciting new focus on 3D human tissue models. Within this program, scientists from the Biocenter of the University of Würzburg, the Research Center for Infectious Diseases, and the Chair of Tissue Engineering and Regenerative Medicine of the University Hospital and Fraunhofer ISC, Unit Würzburg, take a novel route to investigate microbial infections under close-to-natural conditions.
The training group offers an excellent infrastructure for training and research by internationally recognized scientists with state-of-the-art technologies. The program is complemented by seminars, courses, hands-on workshops, writing and presentation training as well as practical career development opportunities.
Activities and responsibilities
The RTG 2157 offers a unique opportunity within a collaborative framework of experts to establish and exploit human infection models for the in-depth investigation of mechanisms underlying host-human pathogen interactions. In particular, the interdisciplinary synergistic cooperation between engineers with life and medical scientists in the RTG 2157, which is the basis of this highly innovative research program, will pave the way for the successful use of the new models for studying infections by major human pathogens.
Qualification profile
We are seeking highly qualified students holding a M.Sc. or equivalent degree with a background in one or several of the following fields: Microbiology, Cell / Molecular Biology, Biochemistry, Genetics, Biophysics, Bioinformatics.
We offer
We offer
Widely visible international research environment
Interdisciplinary and structured Ph.D. program
Intensive support
Send application to
GRK Coordinator
Meike Scheuring
Chair of Microbiology
Biocenter
University of Würzburg
Am Hubland
D-97074 Würzburg
Tel.: 0931 31 86343
Fax: 0931 31 84402
Email: meike.scheuring@uni-wuerzburg.de
Web: www.uni-wuerzburg.de/grk2157
✔️ @ApplyTime
Universität Würzburg, Lehrstuhl für Mikrobiologie Würzburg
The Research Training Group (RTG 2157), started in April 2016, integrates the long-standing expertise in infectious diseases at the University of Würzburg and new technologies into an exciting new focus on 3D human tissue models. Within this program, scientists from the Biocenter of the University of Würzburg, the Research Center for Infectious Diseases, and the Chair of Tissue Engineering and Regenerative Medicine of the University Hospital and Fraunhofer ISC, Unit Würzburg, take a novel route to investigate microbial infections under close-to-natural conditions.
The training group offers an excellent infrastructure for training and research by internationally recognized scientists with state-of-the-art technologies. The program is complemented by seminars, courses, hands-on workshops, writing and presentation training as well as practical career development opportunities.
Activities and responsibilities
The RTG 2157 offers a unique opportunity within a collaborative framework of experts to establish and exploit human infection models for the in-depth investigation of mechanisms underlying host-human pathogen interactions. In particular, the interdisciplinary synergistic cooperation between engineers with life and medical scientists in the RTG 2157, which is the basis of this highly innovative research program, will pave the way for the successful use of the new models for studying infections by major human pathogens.
Qualification profile
We are seeking highly qualified students holding a M.Sc. or equivalent degree with a background in one or several of the following fields: Microbiology, Cell / Molecular Biology, Biochemistry, Genetics, Biophysics, Bioinformatics.
We offer
We offer
Widely visible international research environment
Interdisciplinary and structured Ph.D. program
Intensive support
Send application to
GRK Coordinator
Meike Scheuring
Chair of Microbiology
Biocenter
University of Würzburg
Am Hubland
D-97074 Würzburg
Tel.: 0931 31 86343
Fax: 0931 31 84402
Email: meike.scheuring@uni-wuerzburg.de
Web: www.uni-wuerzburg.de/grk2157
✔️ @ApplyTime
PhD positions in Medical Imaging in Berlin
Charité - Universitätsmedizin Berlin
8 PhD positions (TVöD E13, 65%) are available at Charité, starting April 1st 2020. These will be part of the Research Training Group (Graduiertenkolleg) on ‘Biophysical and Quantitative Imaging towards Clinical Diagnosis’ (BIOQIC). BIOQIC's management office is located at the Berlin university hospital (Charité). It comprises a collaborative venture of Charité, Berlin universities (Technical University and Free University), and research institutions (Physikalisch-Technische Bundesanstalt Berlin, Leibniz-Forschungsinstitut für Molekulare Pharmakologie Berlin-Buch). There will be 15 PhD projects in total; 7 additional PhD positions will be located at the Berlin Universities TU and FU, and the above mentioned Berlin research institutions. All PhD positions will be available for a period of 3 years in total.
Activities and responsibilities
BIOQIC is centered on clinical imaging technologies such as MRI, ultrasound, PET/SPECT and CT, with a focus on objective and quantitative measurements. BIOQIC offers collaborative supervision from basic scientists and clinicians, embedded in one of the most dense and innovative academic regions in Europe, including the top-rated teaching hospital Charité with one of Europe's largest radiological departments. More information about us, and what we do, can be found on our website https://www.bioqic.de/.
Themes:
Cardiovascular Imaging
MR
MRE
CT
Ultrasound
PET
SPECT
Machine Learning/ Automated Analysis
Reconstruction
Motion Correction
Inverse Problems
Image Analysis
Cardiovascular Disease and Tumor Classification
Biophysical Foundations of Imaging
Multiscale Imaging
Multiscale Analysis & Modeling
Micromechanics
Microstructure Analysis
Modeling
Qualification profile
We are looking for highly motivated, inquisitive, enthusiastic, and result-oriented PhD candidates with an excellent academic record and prior research experience. Candidates should ideally hold Master’s degrees in Physics, Engineering, Mathematics, Chemistry, Biology, Medicine, or related disciplines, relevant for the development of innovative medical imaging technologies.
Please send your application in English, no later than December-15-2019 (11:59 p. m. CET), as a single electronic document (preferably in PDF format) to bioqic@charite.de.
Please include:
• the filled BIOQIC application form from our website:
https://bioqic.de/wp-content/uploads/2019/11/BIOQIC_application_form_NOV2019.doc
• a complete and up-to-date curriculum vitae
• names and contact details of at least 2 references
• Bachelor’s and Master’s trannoscripts.
We offer
BIOQIC places particular emphasis on gender equality and fosters and encourages female researchers.
Send application to
bioqic@charite.de
Dr. Judith Bergs, BIOQIC Coordinator
✔️ @ApplyTime
Charité - Universitätsmedizin Berlin
8 PhD positions (TVöD E13, 65%) are available at Charité, starting April 1st 2020. These will be part of the Research Training Group (Graduiertenkolleg) on ‘Biophysical and Quantitative Imaging towards Clinical Diagnosis’ (BIOQIC). BIOQIC's management office is located at the Berlin university hospital (Charité). It comprises a collaborative venture of Charité, Berlin universities (Technical University and Free University), and research institutions (Physikalisch-Technische Bundesanstalt Berlin, Leibniz-Forschungsinstitut für Molekulare Pharmakologie Berlin-Buch). There will be 15 PhD projects in total; 7 additional PhD positions will be located at the Berlin Universities TU and FU, and the above mentioned Berlin research institutions. All PhD positions will be available for a period of 3 years in total.
Activities and responsibilities
BIOQIC is centered on clinical imaging technologies such as MRI, ultrasound, PET/SPECT and CT, with a focus on objective and quantitative measurements. BIOQIC offers collaborative supervision from basic scientists and clinicians, embedded in one of the most dense and innovative academic regions in Europe, including the top-rated teaching hospital Charité with one of Europe's largest radiological departments. More information about us, and what we do, can be found on our website https://www.bioqic.de/.
Themes:
Cardiovascular Imaging
MR
MRE
CT
Ultrasound
PET
SPECT
Machine Learning/ Automated Analysis
Reconstruction
Motion Correction
Inverse Problems
Image Analysis
Cardiovascular Disease and Tumor Classification
Biophysical Foundations of Imaging
Multiscale Imaging
Multiscale Analysis & Modeling
Micromechanics
Microstructure Analysis
Modeling
Qualification profile
We are looking for highly motivated, inquisitive, enthusiastic, and result-oriented PhD candidates with an excellent academic record and prior research experience. Candidates should ideally hold Master’s degrees in Physics, Engineering, Mathematics, Chemistry, Biology, Medicine, or related disciplines, relevant for the development of innovative medical imaging technologies.
Please send your application in English, no later than December-15-2019 (11:59 p. m. CET), as a single electronic document (preferably in PDF format) to bioqic@charite.de.
Please include:
• the filled BIOQIC application form from our website:
https://bioqic.de/wp-content/uploads/2019/11/BIOQIC_application_form_NOV2019.doc
• a complete and up-to-date curriculum vitae
• names and contact details of at least 2 references
• Bachelor’s and Master’s trannoscripts.
We offer
BIOQIC places particular emphasis on gender equality and fosters and encourages female researchers.
Send application to
bioqic@charite.de
Dr. Judith Bergs, BIOQIC Coordinator
✔️ @ApplyTime