Postdoc in Interoception (body-brain), ICPBR, Shanghai
Dynamic Embodied Brain Laboratory (DEB Lab), International Center for Primate Brain Research (ICPBR), Shanghai
The ICPBR, directed by Nikos Logothetis and Mu-Ming Poo, is a newly established world-class primate brain research institution, affiliated with the Center for Excellence in Brain Science and Intelligence Technology (CEBSIT; http://english.cebsit.cas.cn/). Within the ICPBR, the DEB Lab combines multiple experimental approaches in hon-human primates (single cell recording, architectonics and tract tracing, simultaneous ePhys and fMRI, behavior) in order to examine the neuroanatomical and functional organization of peripheral and central pathways interfacing bodily states with brain network dynamics and correlates of high-order brain functions.
To complete its multidisciplinary team, the DEB Lab is recruiting postdoctoral research fellows with an expertise in either of the following fields:
1. PhD in Neuroscience or related, with experience in Patch-Clamp Recordings.
2. PhD in Neuroscience or related, with experience in in vivo electrophysiology (prior non-human primate research experience being favorable but not requested).
3. PhD in Physics, Machine Learning or related, with experience in multivariate data analysis and computational modelling/deep learning (Matlab/Python/R).
4. PhD in Psychology, Neuroethology or related, with experience in primate behavior analysis.
To get more information: Henry.Evrard@tuebingen.mpg.de.
✔️ @ApplyTime
Dynamic Embodied Brain Laboratory (DEB Lab), International Center for Primate Brain Research (ICPBR), Shanghai
The ICPBR, directed by Nikos Logothetis and Mu-Ming Poo, is a newly established world-class primate brain research institution, affiliated with the Center for Excellence in Brain Science and Intelligence Technology (CEBSIT; http://english.cebsit.cas.cn/). Within the ICPBR, the DEB Lab combines multiple experimental approaches in hon-human primates (single cell recording, architectonics and tract tracing, simultaneous ePhys and fMRI, behavior) in order to examine the neuroanatomical and functional organization of peripheral and central pathways interfacing bodily states with brain network dynamics and correlates of high-order brain functions.
To complete its multidisciplinary team, the DEB Lab is recruiting postdoctoral research fellows with an expertise in either of the following fields:
1. PhD in Neuroscience or related, with experience in Patch-Clamp Recordings.
2. PhD in Neuroscience or related, with experience in in vivo electrophysiology (prior non-human primate research experience being favorable but not requested).
3. PhD in Physics, Machine Learning or related, with experience in multivariate data analysis and computational modelling/deep learning (Matlab/Python/R).
4. PhD in Psychology, Neuroethology or related, with experience in primate behavior analysis.
To get more information: Henry.Evrard@tuebingen.mpg.de.
✔️ @ApplyTime
english.cebsit.cas.cn
Center for Excellence in Brain Science and Intelligence Technology
中国科学院脑科学与智能技术卓越创新中心,神经科学研究所,中国科学院
Postdoc position (machine learning/tensor methods), CNRS & University of Lorraine, Nancy, France
Dear all
We are inviting applications for a postdoctoral research position on developing new deep learning approaches based on low-rank tensor approximations. This is a 2-year position with the desirable starting date in January 2022 or earlier. The applications are received until the position is filled. The project is co-funded by the French Agence Nationale de Recherche and Grand Est Region. The applicant will be employed in Nancy by the University of Lorraine and the CNRS.
For further details please seehttp://w3.cran.univ-lorraine.fr/konstantin.usevich/?q=content/postdoc-2021 . Enquiries and applications should be directed to Konstantin Usevich (konstantin.usevich@univ-lorraine.fr) and Marianne Clausel (marianne.clausel@univ-lorraine.fr).
Best
Marianne
✔️ @ApplyTime
Dear all
We are inviting applications for a postdoctoral research position on developing new deep learning approaches based on low-rank tensor approximations. This is a 2-year position with the desirable starting date in January 2022 or earlier. The applications are received until the position is filled. The project is co-funded by the French Agence Nationale de Recherche and Grand Est Region. The applicant will be employed in Nancy by the University of Lorraine and the CNRS.
For further details please seehttp://w3.cran.univ-lorraine.fr/konstantin.usevich/?q=content/postdoc-2021 . Enquiries and applications should be directed to Konstantin Usevich (konstantin.usevich@univ-lorraine.fr) and Marianne Clausel (marianne.clausel@univ-lorraine.fr).
Best
Marianne
✔️ @ApplyTime
PhD or post-doc position
Tip Induced Redox Chemistry and Synthesis
Ref. 2021_043
We offer a PhD candidate position or a post doctoral fellowship. The main objective is to explore on-surface synthesis by atom manipulation, that is, deliberately forming and breaking bonds between individual molecules using the tip of a combined scanning tunneling microscope (STM) and atomic force microscope (AFM), in particular on insulating surfaces. Novel molecules and molecular networks will be created and studied by ultra-high resolution STM and AFM. Charge attachment and transfer in the systems created will be studied.
The start-date for this position is between 1 January and 1 June 2022.
Qualifications
Applicants are expected to hold a master's degree or PhD in Physics or a related field and be fluent in English (written and spoken). Beneficial but not mandatory for this job is expertise in ultra-high vacuum systems, scanning probe microscopy and density functional theory calculations. We are looking for candidates with excellent general knowledge in physics and surface science.
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.
How to apply
If you are interested in this position, please submit your application below.
✔️ @ApplyTime
Tip Induced Redox Chemistry and Synthesis
Ref. 2021_043
We offer a PhD candidate position or a post doctoral fellowship. The main objective is to explore on-surface synthesis by atom manipulation, that is, deliberately forming and breaking bonds between individual molecules using the tip of a combined scanning tunneling microscope (STM) and atomic force microscope (AFM), in particular on insulating surfaces. Novel molecules and molecular networks will be created and studied by ultra-high resolution STM and AFM. Charge attachment and transfer in the systems created will be studied.
The start-date for this position is between 1 January and 1 June 2022.
Qualifications
Applicants are expected to hold a master's degree or PhD in Physics or a related field and be fluent in English (written and spoken). Beneficial but not mandatory for this job is expertise in ultra-high vacuum systems, scanning probe microscopy and density functional theory calculations. We are looking for candidates with excellent general knowledge in physics and surface science.
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.
How to apply
If you are interested in this position, please submit your application below.
✔️ @ApplyTime
Post-doctoral Researcher in Computational modelling of neuromodulation (W/M)
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
Post-doctoral Researcher in Computational modelling of neuromodulation (W/M)
Your mission :
The aim of the EPFL Blue Brain Project (BBP), a Swiss brain research initiative founded and directed by Professor Henry Markram, is to establish simulation neuroscience as a complementary approach alongside experimental, theoretical and clinical neuroscience to understanding the brain, by building the world’s first biologically detailed digital reconstructions and simulations of the mouse brain.
Within the Simulation Neuroscience division, we are looking for a Post-doctoral Researcher in Computational modelling of neuromodulation W/M.
Main duties and responsibilities include :
Literature mining, data curation, including data from experimental lab (e.g., electrophysiological recordings)
Improve and extend existing models of neuromodulation
Model the effect of neuromodulators at the level of synapses, single cells, network
Integrate the models of neuromodulation into large-scale networks
Study the functional roles of neuromodulators
Your profile :
PhD in Neuroscience, Computational Neuroscience, or related field
Experience in Neuroscience, Computational Neuroscience, and Neuromodulation
Experience in scientific computing software (python, Linux)
Interest in participating in a collaborative big science project
Strong team player and fluent English in speech and writing
We offer :
A world-recognized leader in simulation-based research in neuroscience
A dynamic, multidisciplinary, international and collaborative working environment committed to benefitting the global community
A modern working environment, based at the Biotech Campus in Geneva Sécheron
Start date :
as soon as possible
Term of employment :
Fixed-term (CDD)
Work rate :
100%
Duration :
1 year, renewable
Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.
Reference :
Job Nb 2041
emploi.epfl.ch
✔️ @ApplyTime
EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,000 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 16,000 people, including over 12,000 students and 4,000 researchers from more than 120 different countries.
Post-doctoral Researcher in Computational modelling of neuromodulation (W/M)
Your mission :
The aim of the EPFL Blue Brain Project (BBP), a Swiss brain research initiative founded and directed by Professor Henry Markram, is to establish simulation neuroscience as a complementary approach alongside experimental, theoretical and clinical neuroscience to understanding the brain, by building the world’s first biologically detailed digital reconstructions and simulations of the mouse brain.
Within the Simulation Neuroscience division, we are looking for a Post-doctoral Researcher in Computational modelling of neuromodulation W/M.
Main duties and responsibilities include :
Literature mining, data curation, including data from experimental lab (e.g., electrophysiological recordings)
Improve and extend existing models of neuromodulation
Model the effect of neuromodulators at the level of synapses, single cells, network
Integrate the models of neuromodulation into large-scale networks
Study the functional roles of neuromodulators
Your profile :
PhD in Neuroscience, Computational Neuroscience, or related field
Experience in Neuroscience, Computational Neuroscience, and Neuromodulation
Experience in scientific computing software (python, Linux)
Interest in participating in a collaborative big science project
Strong team player and fluent English in speech and writing
We offer :
A world-recognized leader in simulation-based research in neuroscience
A dynamic, multidisciplinary, international and collaborative working environment committed to benefitting the global community
A modern working environment, based at the Biotech Campus in Geneva Sécheron
Start date :
as soon as possible
Term of employment :
Fixed-term (CDD)
Work rate :
100%
Duration :
1 year, renewable
Remark :
Only candidates who applied through EPFL website or our partner Jobup’s website will be considered. Files sent by agencies without a mandate will not be taken into account.
Reference :
Job Nb 2041
emploi.epfl.ch
✔️ @ApplyTime
Postdoc at the University of Nebraska-Lincoln
Postdoc in Cognitive & Affective Neuroscience Lab (remote position negotiable)
The Cognitive and Affective Neuroscience Lab at the University of Nebraska-Lincoln (PI: Maital Neta) invites applications for a full-time Postdoctoral Researcher (start date negotiable). The postdoc will contribute to NIMH- and NSF-funded research examining individual differences in emotion processing and emotion regulation across the lifespan.
The successful candidate will have completed a PhD in psychology, neuroscience, or a related field and have a strong publication record that includes neuroimaging studies, preferably with a focus on using fMRI to examine theoretically relevant questions in cognitive psychology and emotion in particular. Candidates with substantial prior experience using advanced MRI methods (e.g., resting state MRI, MVPA, network analyses), psychophysiology and/or with eye tracking are uniquely attractive. Strong technical skills are preferred, including competence in several programming environments, and familiarity with programs such as E-prime, R, Matlab, Python, AFNI, SPM, FSL, and Unix is especially valued but not required and otherwise would be learned on the job.
The lab is housed in the Center for Brain, Biology, & Behavior at UNL (http://cb3.unl.edu/), which has a state-of-the-art Brain Imaging Center and a 3T MRI scanner dedicated for research. Beyond having access to the scanner, the postdoctoral fellow will also have access to with EEG/ERP, fNIRS, tDCS, virtual reality, mobile psychophysiology, eye-tracking (many of which can be measured both in and out of the MRI scanner), as well as several other cutting-edge techniques.
The position is available immediately, but the start date can be flexible. We will begin reviewing applications immediately, and continue reviewing them on a rolling basis until the position is filled. Salary is commensurate with experience, and includes health benefits.
To apply, please fill out the application form at https://tinyurl.com/slqmovm. You will need your CV and the contact information for three references. Please also feel free to contact Maital Neta (mneta2@unl.edu) for more information.
THANK YOU!!
-M.
Maital Neta, Ph.D.
Happold Associate Professor
Associate Chair of Psychology
Associate Director of Center for Brain, Biology, and Behavior
Director of Cognitive and Affective Neuroscience Lab
University of Nebraska - Lincoln
✔️ @ApplyTime
Postdoc in Cognitive & Affective Neuroscience Lab (remote position negotiable)
The Cognitive and Affective Neuroscience Lab at the University of Nebraska-Lincoln (PI: Maital Neta) invites applications for a full-time Postdoctoral Researcher (start date negotiable). The postdoc will contribute to NIMH- and NSF-funded research examining individual differences in emotion processing and emotion regulation across the lifespan.
The successful candidate will have completed a PhD in psychology, neuroscience, or a related field and have a strong publication record that includes neuroimaging studies, preferably with a focus on using fMRI to examine theoretically relevant questions in cognitive psychology and emotion in particular. Candidates with substantial prior experience using advanced MRI methods (e.g., resting state MRI, MVPA, network analyses), psychophysiology and/or with eye tracking are uniquely attractive. Strong technical skills are preferred, including competence in several programming environments, and familiarity with programs such as E-prime, R, Matlab, Python, AFNI, SPM, FSL, and Unix is especially valued but not required and otherwise would be learned on the job.
The lab is housed in the Center for Brain, Biology, & Behavior at UNL (http://cb3.unl.edu/), which has a state-of-the-art Brain Imaging Center and a 3T MRI scanner dedicated for research. Beyond having access to the scanner, the postdoctoral fellow will also have access to with EEG/ERP, fNIRS, tDCS, virtual reality, mobile psychophysiology, eye-tracking (many of which can be measured both in and out of the MRI scanner), as well as several other cutting-edge techniques.
The position is available immediately, but the start date can be flexible. We will begin reviewing applications immediately, and continue reviewing them on a rolling basis until the position is filled. Salary is commensurate with experience, and includes health benefits.
To apply, please fill out the application form at https://tinyurl.com/slqmovm. You will need your CV and the contact information for three references. Please also feel free to contact Maital Neta (mneta2@unl.edu) for more information.
THANK YOU!!
-M.
Maital Neta, Ph.D.
Happold Associate Professor
Associate Chair of Psychology
Associate Director of Center for Brain, Biology, and Behavior
Director of Cognitive and Affective Neuroscience Lab
University of Nebraska - Lincoln
✔️ @ApplyTime
cb3.unl.edu
UNL | Center for Brain, Biology and Behavior
Post-doc in reinforcement learning in Scool, Inria, France
We have a Postdoc Position in Reinforcement Learning at Inria Lille that is just waiting for awesome candidates to join! https://jobs.inria.fr/public/classic/fr/offres/2021-03413 Whether you feel like a core Theory addict, or want to engage in interdisciplinary research on Real-Life applications such as Healthcare or Agroecologie, be sure to join the Real-Life Reinforcement Learning (RLRL) research effort in a vivid, exciting scientific context!
The position is with the Scool group, at Inria in Lille, France (https://team.inria.fr/scool/). Scool is dedicated to the study of bandit and reinforcement learning problems. It is currently made of 6 permanent researchers, 20 PhD students, 6 post-docs, 3 engineers. Our scientific activities ranges from theory to applications, with a focus on health related applications, and sustainable development applications.
Odalric-Ambrym Maillard,
Philippe Preux
✔️ @ApplyTime
We have a Postdoc Position in Reinforcement Learning at Inria Lille that is just waiting for awesome candidates to join! https://jobs.inria.fr/public/classic/fr/offres/2021-03413 Whether you feel like a core Theory addict, or want to engage in interdisciplinary research on Real-Life applications such as Healthcare or Agroecologie, be sure to join the Real-Life Reinforcement Learning (RLRL) research effort in a vivid, exciting scientific context!
The position is with the Scool group, at Inria in Lille, France (https://team.inria.fr/scool/). Scool is dedicated to the study of bandit and reinforcement learning problems. It is currently made of 6 permanent researchers, 20 PhD students, 6 post-docs, 3 engineers. Our scientific activities ranges from theory to applications, with a focus on health related applications, and sustainable development applications.
Odalric-Ambrym Maillard,
Philippe Preux
✔️ @ApplyTime
Inria
Post-Doctoral Research Visit F/M Reinforcement learning
Offre d'emploi Inria
Ph.D. Student or a Postdoctoral researcher at Ghent University
We are recruiting a Ph.D. Student or a Postdoctoral researcher under the conditions of international mobility
Why some people can comply with highly immoral orders while other will risk their own lives to rescue human beings? The present project aims to understand why some individuals are more likely to stand up against immoral orders than others.. In this project, we will explore what neuro-cognitive processes prevent an individual from causing pain to another individual in coercive contexts. We will primarily focus on the sense of agency, which is the feeling of being the author of one’s own action and thus responsible for its consequences, and on empathy for pain. The successful applicant will join the Moral & Social Brain Lab (https://moralsocialbrain.com/) to work on a project that aims to uncover the neuro-cognitive processes that prevent an individual from being coerced into causing pain to others. The applicant will use a novel experimental approach, which is an actualized and ethical version of the famous Stanley Milgram’s studies, to answer this question. The applicant will use behavioral, electrophysiology, neuromodulation and neuroimaging measurements.
A PhD position (1+3 years) or Postdoctoral position under the condition of international mobility (1+1 years) in social and behavioural neurosciences is available at Ghent University. The position is funded by a BOF Starting Grant. The research will be led by Prof. Emilie Caspar (Department of Experimental Psychology).
The research will happen in Ghent University, which is a city located close by the main city Brussels. The applicant will have access to all state-of-the-art facilities, such as a 64-electrode EEG system, a 3T-MRI, TMS/tdcs, and experimental rooms.
In our lab, we try to avoid testing only WEIRD (Western, Educated, Industrialized, Rich, Democratic) individuals. At the moment, our projects involve inmates in prisons, military, genocide survivors and former perpetrators in Rwanda and Cambodia – see https://emiliecaspar.home.blog/ for some examples of the field research we conduct. We consider that there are no restrictions regarding the populations to include in the research project and we wish the successful applicant to be open-minded regarding the possibilities to answer the research questions.
The successful applicant will be responsible for the development of experiments, collection and analysis of data, publication and dissemination of the results, and will be involved in the supervision of research assistants and MSc students.
To see the full denoscription: Link: https://moralsocialbrain.com/current-vacancies/
Deadline November 10th.
✔️ @ApplyTime
We are recruiting a Ph.D. Student or a Postdoctoral researcher under the conditions of international mobility
Why some people can comply with highly immoral orders while other will risk their own lives to rescue human beings? The present project aims to understand why some individuals are more likely to stand up against immoral orders than others.. In this project, we will explore what neuro-cognitive processes prevent an individual from causing pain to another individual in coercive contexts. We will primarily focus on the sense of agency, which is the feeling of being the author of one’s own action and thus responsible for its consequences, and on empathy for pain. The successful applicant will join the Moral & Social Brain Lab (https://moralsocialbrain.com/) to work on a project that aims to uncover the neuro-cognitive processes that prevent an individual from being coerced into causing pain to others. The applicant will use a novel experimental approach, which is an actualized and ethical version of the famous Stanley Milgram’s studies, to answer this question. The applicant will use behavioral, electrophysiology, neuromodulation and neuroimaging measurements.
A PhD position (1+3 years) or Postdoctoral position under the condition of international mobility (1+1 years) in social and behavioural neurosciences is available at Ghent University. The position is funded by a BOF Starting Grant. The research will be led by Prof. Emilie Caspar (Department of Experimental Psychology).
The research will happen in Ghent University, which is a city located close by the main city Brussels. The applicant will have access to all state-of-the-art facilities, such as a 64-electrode EEG system, a 3T-MRI, TMS/tdcs, and experimental rooms.
In our lab, we try to avoid testing only WEIRD (Western, Educated, Industrialized, Rich, Democratic) individuals. At the moment, our projects involve inmates in prisons, military, genocide survivors and former perpetrators in Rwanda and Cambodia – see https://emiliecaspar.home.blog/ for some examples of the field research we conduct. We consider that there are no restrictions regarding the populations to include in the research project and we wish the successful applicant to be open-minded regarding the possibilities to answer the research questions.
The successful applicant will be responsible for the development of experiments, collection and analysis of data, publication and dissemination of the results, and will be involved in the supervision of research assistants and MSc students.
To see the full denoscription: Link: https://moralsocialbrain.com/current-vacancies/
Deadline November 10th.
✔️ @ApplyTime
Moralsocialbrain
(pas de titre)
Voir l’article pour en savoir plus.
Stanford Postdoc in Machine Learning and Public Policy
Professors Daniel Ho and Jacob Goldin invite applications for a postdoctoral scholar focused on the intersection of machine learning, statistics, and public policy. The work would focus on a high-impact collaboration with the Internal Revenue Service to build a more effective and equitable tax system. This is a 2-year position, with the potential of renewal. Some or all of the work may be conducted remotely. For more information, see the RegLab website.
We are searching for outstanding individuals with strong research backgrounds. Experience with research in one or more of the following areas is desirable: machine learning, algorithmic fairness, sequential decision making (e.g., active learning). A Ph.D. degree in Computer Science, Economics, Statistics or a related field is required.
Successful candidates should be prepared to send two letters of reference from your previous research supervisors and collaborators on request. The review of applications will begin immediately and will continue until the position is filled.
Apply online at: https://forms.gle/iVz8HVCxJeUVPNxQ9
Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce.
--
Christine Tsang
Executive Director | Regulation, Evaluation, and Governance Lab (RegLab)
Stanford Law School | 559 Nathan Abbott Way | Stanford, CA 94305
✔️ @ApplyTime
Professors Daniel Ho and Jacob Goldin invite applications for a postdoctoral scholar focused on the intersection of machine learning, statistics, and public policy. The work would focus on a high-impact collaboration with the Internal Revenue Service to build a more effective and equitable tax system. This is a 2-year position, with the potential of renewal. Some or all of the work may be conducted remotely. For more information, see the RegLab website.
We are searching for outstanding individuals with strong research backgrounds. Experience with research in one or more of the following areas is desirable: machine learning, algorithmic fairness, sequential decision making (e.g., active learning). A Ph.D. degree in Computer Science, Economics, Statistics or a related field is required.
Successful candidates should be prepared to send two letters of reference from your previous research supervisors and collaborators on request. The review of applications will begin immediately and will continue until the position is filled.
Apply online at: https://forms.gle/iVz8HVCxJeUVPNxQ9
Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce.
--
Christine Tsang
Executive Director | Regulation, Evaluation, and Governance Lab (RegLab)
Stanford Law School | 559 Nathan Abbott Way | Stanford, CA 94305
✔️ @ApplyTime
ELLIS Pan-European PhD Program: 100+ PhD positions in machine learning and related fields
Apply by November 15, 2021 to join the ELLIS PhD Program in 2022 – Details at ellis.eu/phd-postdoc
The ELLIS PhD program has launched its second round of central recruitment and is now accepting applications. A key element of the ELLIS initiative, the program's central aim is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students from across the globe with leading researchers in Europe. The program also offers a variety of networking and training activities. Each PhD student is co-supervised by two ELLIS scientists based in different European countries. Over the course of their degree, students complete a mandatory exchange of at least six months at their co-advisor's lab. One of the advisors may also come from industry, in which case the student will collaborate closely with the private sector partner and spend their exchange conducting research at an industrial lab.
Research areas include (but are not limited to) the following machine learning-driven research fields:
Machine Learning Algorithms
Machine Learning Theory
Optimization
Deep Learning
Interactive and Online Learning
Reinforcement Learning and Control
Computer Vision
Computer Graphics
Robotics
Human Computer Interaction
Natural Language Processing
Causality
Interpretability and Fairness
Robust and Trustworthy Machine Learning
Quantum and Physics-based Machine Learning
Symbolic Machine Learning
Computational Neuroscience
Earth and Climate Sciences
Bioinformatics
Health
You can watch our introductory video here: https://www.youtube.com/watch?v=kWXNpnxkfg0.
The deadline for applications is November 15, 2021. Interested candidates should apply online through the ELLIS application portal. For more detailed information on the program, specific research areas, and the application process, please consult the call for applications: https://ellis.eu/news/ellis-phd-program-call-for-applications-deadline-november-15-2021.
✔️ @ApplyTime
Apply by November 15, 2021 to join the ELLIS PhD Program in 2022 – Details at ellis.eu/phd-postdoc
The ELLIS PhD program has launched its second round of central recruitment and is now accepting applications. A key element of the ELLIS initiative, the program's central aim is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students from across the globe with leading researchers in Europe. The program also offers a variety of networking and training activities. Each PhD student is co-supervised by two ELLIS scientists based in different European countries. Over the course of their degree, students complete a mandatory exchange of at least six months at their co-advisor's lab. One of the advisors may also come from industry, in which case the student will collaborate closely with the private sector partner and spend their exchange conducting research at an industrial lab.
Research areas include (but are not limited to) the following machine learning-driven research fields:
Machine Learning Algorithms
Machine Learning Theory
Optimization
Deep Learning
Interactive and Online Learning
Reinforcement Learning and Control
Computer Vision
Computer Graphics
Robotics
Human Computer Interaction
Natural Language Processing
Causality
Interpretability and Fairness
Robust and Trustworthy Machine Learning
Quantum and Physics-based Machine Learning
Symbolic Machine Learning
Computational Neuroscience
Earth and Climate Sciences
Bioinformatics
Health
You can watch our introductory video here: https://www.youtube.com/watch?v=kWXNpnxkfg0.
The deadline for applications is November 15, 2021. Interested candidates should apply online through the ELLIS application portal. For more detailed information on the program, specific research areas, and the application process, please consult the call for applications: https://ellis.eu/news/ellis-phd-program-call-for-applications-deadline-november-15-2021.
✔️ @ApplyTime
ELLIS
PhD & Postdoc Program
The ELLIS PhD & Postdoc Program links top students with leading AI researchers, offering co-supervision and exchanges within Europe.
PhD positions at the Gatsby Unit
If you are interested in pursuing a PhD in machine learning or theoretical neuroscience at the Gatsby Computational Neuroscience Unit in London, applications for our programme are now open. Please send us your application by 14th November 2021. Apply here: https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme/applications
The Gatsby Unit is part of University College London and focuses on machine learning and theoretical neuroscience. We specialize in research and research training: We have a PhD programme and postdoctoral trainees, but no undergraduate or MSc programme.
Our PhD programme provides a rigorous preparation for a research career. Although each student eventually chooses an advisor, the programme is highly interactive, and the unit functions more like a single large research group loosely divided into subgroups than a regular university department. Many leading researchers in both machine learning and neuroscience have studied or worked in the Unit. Overall, about 2/3 of our alumni are in academia, many are faculty members at the world's leading universities, others have founded companies (including DeepMind), and almost all are active in research. You can see our network of alumni here: https://www.ucl.ac.uk/gatsby/greater-gatsby
Full funding is available to all students, regardless of nationality. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend, presently £24,000 per annum. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships.
Official information on the programme can be found here:
https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme
We particularly encourage applications from underrepresented groups.
Questions should be directed to admissions@gatsby.ucl.ac.uk
✔️ @ApplyTime
If you are interested in pursuing a PhD in machine learning or theoretical neuroscience at the Gatsby Computational Neuroscience Unit in London, applications for our programme are now open. Please send us your application by 14th November 2021. Apply here: https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme/applications
The Gatsby Unit is part of University College London and focuses on machine learning and theoretical neuroscience. We specialize in research and research training: We have a PhD programme and postdoctoral trainees, but no undergraduate or MSc programme.
Our PhD programme provides a rigorous preparation for a research career. Although each student eventually chooses an advisor, the programme is highly interactive, and the unit functions more like a single large research group loosely divided into subgroups than a regular university department. Many leading researchers in both machine learning and neuroscience have studied or worked in the Unit. Overall, about 2/3 of our alumni are in academia, many are faculty members at the world's leading universities, others have founded companies (including DeepMind), and almost all are active in research. You can see our network of alumni here: https://www.ucl.ac.uk/gatsby/greater-gatsby
Full funding is available to all students, regardless of nationality. Gatsby PhD studentships cover the cost of tuition at the appropriate rate, and include a tax-free stipend, presently £24,000 per annum. The Unit also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships.
Official information on the programme can be found here:
https://www.ucl.ac.uk/gatsby/study-and-work/phd-programme
We particularly encourage applications from underrepresented groups.
Questions should be directed to admissions@gatsby.ucl.ac.uk
✔️ @ApplyTime
Gatsby Computational Neuroscience Unit
Applications
Two Senior Research Associate jobs at Oxford University in Computer Vision and Natural Language Processing
Oxford University invites applications for two postdoctoral positions (Grade 8: £42,149 - £50,296 p.a.), one with a specialism in Computer Vision and the other with a specialism in Natural Language Processing.
Deadline: Applications due noon November 9th, 2021.
The Senior Research Associate in Machine Learning (Computer Vision) will engage in internationally leading research in analysis of complex, heterogenous data at scale; he/she will bring state of the art machine learning to the heart of geospatial data analytics specifically for multi-spectral satellite imagery. The Researcher will develop and pioneer new Bayesian/deep machine learning techniques for big data, remote sensing, multi-sensor data fusion and interpretable estimation to improve the quality, coverage and transparency of geospatial datasets, mapping and characterising the most polluting industries world-wide.
The Senior Research Associate in Machine Learning (Natural Language Processing) will engage in internationally leading research in analysis of complex, unstructured text data at scale; he/she will bring state-of-the-art natural language processing to the heart of sustainable finance. The Researcher will develop and pioneer new Bayesian/deep machine learning techniques in natural language understanding, including text-mining, to improve the quality, coverage and transparency of datasets, characterising the most polluting industries world-wide.
The researchers will work in a team of machine learning experts within the Oxford Sustainable Finance Programme (OxSFP). The machine learning team is led by Dr Steven Reece, who has transitioned to Geography from Engineering Science following 30 years research in fundamental machine learning and, recently, leading a group focussing on applications in disaster management and environmental protection. The researcher’s work will have a strong impact component and is in collaboration with The Alan Turing Institute, the UK’s national institute for artificial intelligence and data science, and the Satellite Applications Catapult, a UK technology and innovation company which aims to support UK industry by accelerating the growth of satellite applications.
The successful candidate’s work will produce open asset-level datasets with commensurate levels of uncertainty to help project partners and stakeholders to align finance with sustainability, a necessary condition for tackling the environmental and social challenges facing humanity, to manage the risks and capture the opportunities associated with the transition to global environmental sustainability.
Link to full job denoscription and application instructions: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=153202
✔️ @ApplyTime
Oxford University invites applications for two postdoctoral positions (Grade 8: £42,149 - £50,296 p.a.), one with a specialism in Computer Vision and the other with a specialism in Natural Language Processing.
Deadline: Applications due noon November 9th, 2021.
The Senior Research Associate in Machine Learning (Computer Vision) will engage in internationally leading research in analysis of complex, heterogenous data at scale; he/she will bring state of the art machine learning to the heart of geospatial data analytics specifically for multi-spectral satellite imagery. The Researcher will develop and pioneer new Bayesian/deep machine learning techniques for big data, remote sensing, multi-sensor data fusion and interpretable estimation to improve the quality, coverage and transparency of geospatial datasets, mapping and characterising the most polluting industries world-wide.
The Senior Research Associate in Machine Learning (Natural Language Processing) will engage in internationally leading research in analysis of complex, unstructured text data at scale; he/she will bring state-of-the-art natural language processing to the heart of sustainable finance. The Researcher will develop and pioneer new Bayesian/deep machine learning techniques in natural language understanding, including text-mining, to improve the quality, coverage and transparency of datasets, characterising the most polluting industries world-wide.
The researchers will work in a team of machine learning experts within the Oxford Sustainable Finance Programme (OxSFP). The machine learning team is led by Dr Steven Reece, who has transitioned to Geography from Engineering Science following 30 years research in fundamental machine learning and, recently, leading a group focussing on applications in disaster management and environmental protection. The researcher’s work will have a strong impact component and is in collaboration with The Alan Turing Institute, the UK’s national institute for artificial intelligence and data science, and the Satellite Applications Catapult, a UK technology and innovation company which aims to support UK industry by accelerating the growth of satellite applications.
The successful candidate’s work will produce open asset-level datasets with commensurate levels of uncertainty to help project partners and stakeholders to align finance with sustainability, a necessary condition for tackling the environmental and social challenges facing humanity, to manage the risks and capture the opportunities associated with the transition to global environmental sustainability.
Link to full job denoscription and application instructions: https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=153202
✔️ @ApplyTime
Fellow applications for Georgia Tech/Emory Computational Neural Engineering Training Program
Georgia Tech/Emory invite you to apply to become a Fellow in our NIH/NIBIB Computational Neural Engineering Training Program (CNTP)! Fellows receive full stipend and tuition for two years to support rotations and foster cross-disciplinary collaborative training. The CNTP aims to train the next generation of researchers at the intersection of computational neuroscience, neural engineering, data science, and clinical neurophysiology.
Central to our mission is our core belief that just as the diversity among cells, circuits, and networks is critical for navigating a complex and ever-changing world, diversity in the background, experiences, and expertise among our team members is key to understanding and interacting with the brain. The CNTP seeks diversity in the recruiting of our fellows, scholars, and training faculty, equity among the members of our diverse team, and to create an inclusive community where everyone feels welcome and heard.
Training components include new coursework (“Clinical Experience for Engineers”), seminars, innovation forums, professional development meetings, and community retreats. Overall, the CNTP creates novel opportunities to gain experience in science, engineering and clinical domains, resulting in an exceptional and unique training experience. More information on the CNTP is here: https://sites.gatech.edu/cntp/.
Fellow applications are solicited from admitted applicants to one of the four participating PhD programs linked below (PhD in BME, ECE, Bioe or ML). Fellows must be US Citizens or Permanent Residents. If you are interested in joining the CNTP, you must first apply to one of those programs. Deadlines vary, beginning December 1, 2021. Detailed application instructions: https://sites.gatech.edu/cntp/how-to-apply/.
Please contact Dr. Rozell at crozell@gatech.edu with any questions.
Graduate program application assistance
Current CNTP trainees are offering graduate application assistance to provide feedback on essays and give guidance on potentially relevant faculty. You can request assistance by filling out the form below before November 8, 2021:
https://docs.google.com/forms/d/e/1FAIpQLSefcaCnxG_CLQnUvw6Mvgo2Q2zzrnhDx_dXNwdgrHyvHGqIpQ/viewform?usp=sf_link
Participating PhD programs
PhD in Biomedical Engineering at GT/Emory (due 12/1/2021)
https://bme.gatech.edu/bme/georgia-tech-emory-bme-phd-program
PhD in Electrical & Computer Engineering at GT (due 12/16/2021)
https://www.ece.gatech.edu/graduate-admissions
PhD in Bioengineering at GT with BME or ECE home school (deadline is from home school)
https://bioengineering.gatech.edu/
PhD in Machine Learning at GT with BME or ECE home school (deadline is from home school)
http://ml.gatech.edu/phd
✔️ @ApplyTime
Georgia Tech/Emory invite you to apply to become a Fellow in our NIH/NIBIB Computational Neural Engineering Training Program (CNTP)! Fellows receive full stipend and tuition for two years to support rotations and foster cross-disciplinary collaborative training. The CNTP aims to train the next generation of researchers at the intersection of computational neuroscience, neural engineering, data science, and clinical neurophysiology.
Central to our mission is our core belief that just as the diversity among cells, circuits, and networks is critical for navigating a complex and ever-changing world, diversity in the background, experiences, and expertise among our team members is key to understanding and interacting with the brain. The CNTP seeks diversity in the recruiting of our fellows, scholars, and training faculty, equity among the members of our diverse team, and to create an inclusive community where everyone feels welcome and heard.
Training components include new coursework (“Clinical Experience for Engineers”), seminars, innovation forums, professional development meetings, and community retreats. Overall, the CNTP creates novel opportunities to gain experience in science, engineering and clinical domains, resulting in an exceptional and unique training experience. More information on the CNTP is here: https://sites.gatech.edu/cntp/.
Fellow applications are solicited from admitted applicants to one of the four participating PhD programs linked below (PhD in BME, ECE, Bioe or ML). Fellows must be US Citizens or Permanent Residents. If you are interested in joining the CNTP, you must first apply to one of those programs. Deadlines vary, beginning December 1, 2021. Detailed application instructions: https://sites.gatech.edu/cntp/how-to-apply/.
Please contact Dr. Rozell at crozell@gatech.edu with any questions.
Graduate program application assistance
Current CNTP trainees are offering graduate application assistance to provide feedback on essays and give guidance on potentially relevant faculty. You can request assistance by filling out the form below before November 8, 2021:
https://docs.google.com/forms/d/e/1FAIpQLSefcaCnxG_CLQnUvw6Mvgo2Q2zzrnhDx_dXNwdgrHyvHGqIpQ/viewform?usp=sf_link
Participating PhD programs
PhD in Biomedical Engineering at GT/Emory (due 12/1/2021)
https://bme.gatech.edu/bme/georgia-tech-emory-bme-phd-program
PhD in Electrical & Computer Engineering at GT (due 12/16/2021)
https://www.ece.gatech.edu/graduate-admissions
PhD in Bioengineering at GT with BME or ECE home school (deadline is from home school)
https://bioengineering.gatech.edu/
PhD in Machine Learning at GT with BME or ECE home school (deadline is from home school)
http://ml.gatech.edu/phd
✔️ @ApplyTime
GT/Emory Computational Neural-Engineering Training Program
CNTP Homepage
NIH Sponsored T32 Training Grant