Dear All,
We have a postdoc position at City University of Hong Kong. The research will be on reinforcement learning in medical/robotics applications. To apply, please send your CV to enek...@cityu.edu.hk
Contact information:
Ehsan Nekouei
Email: enek...@cityu.edu.hk
Web: http://www.ee.cityu.edu.hk/~enekouei/index.html
Best,
Ehsan
✔️ @ApplyTime
We have a postdoc position at City University of Hong Kong. The research will be on reinforcement learning in medical/robotics applications. To apply, please send your CV to enek...@cityu.edu.hk
Contact information:
Ehsan Nekouei
Email: enek...@cityu.edu.hk
Web: http://www.ee.cityu.edu.hk/~enekouei/index.html
Best,
Ehsan
✔️ @ApplyTime
Systems neuroscience research assistant position in Florida. Sleep and memory
One Research Assistant or Master’s Student position in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate biomarkers of sleep cellular activity in the thalamus that correlate with sleep depth and stability. Keywords: behaving rodent extracellular electrophysiology, cell spike dynamics, learning and memory, sleep fragmentation.
Start date January 2022 (some flexibility).
*** Requirements ***
Interested candidates please send your curriculum and a brief denoscription of your research interests to varelac@fau.edu We are looking for team-oriented candidates, ideally with prior experience in rodent behavior and electrophysiology. Candidates selected for an interview will be asked to provide contact information for up to three references.
*** What you get ***
· Work on exciting and impactful projects to understand the contribution of thalamic cells to sleep and memory.
· Develop research skills using state-of-the-art systems and pharmacology techniques in rodents.
· Mentorship, supportive lab environment, in a rapidly growing neuroscience campus.
Location: The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute.
FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law.
✔️ @ApplyTime
One Research Assistant or Master’s Student position in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate biomarkers of sleep cellular activity in the thalamus that correlate with sleep depth and stability. Keywords: behaving rodent extracellular electrophysiology, cell spike dynamics, learning and memory, sleep fragmentation.
Start date January 2022 (some flexibility).
*** Requirements ***
Interested candidates please send your curriculum and a brief denoscription of your research interests to varelac@fau.edu We are looking for team-oriented candidates, ideally with prior experience in rodent behavior and electrophysiology. Candidates selected for an interview will be asked to provide contact information for up to three references.
*** What you get ***
· Work on exciting and impactful projects to understand the contribution of thalamic cells to sleep and memory.
· Develop research skills using state-of-the-art systems and pharmacology techniques in rodents.
· Mentorship, supportive lab environment, in a rapidly growing neuroscience campus.
Location: The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute.
FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law.
✔️ @ApplyTime
Postdoctoral Associate in Neural Circuits of Learning and Memory
NIH-funded postdoctoral position is immediately available in the group of Dr. Yuri Dabaghian in the Department of Neurology at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests at the intersection of mathematics, physics, and neuroscience, in the general area of emergent phenomena and representations, network dynamics, topological data analyses. Some projects aim to explain electrophysiological data patterns, some are theoretically motivated. Specifically, we are interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidates will develop data-driven hippocampal neuronal network models explaining spatial learning dynamics, develop and creatively apply tools for the data analysis including novel methods of brain waves (EEG) analyses, Topological Data Analysis of spiking data, etc.
The Position requires strong background in quantitative disciplines (PhD and ongoing interest in computational or theoretical neuroscience, physics, mathematics, or related), plus willingness to do programming and to analyze experimental data. Previous experiences in data analyses are preferred but not required.
All Appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center and have the opportunity to participate in collaborations with groups at Baylor College of Medicine and Rice University.
To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We Strive for a diverse and inclusive environment, and encourage applications from members of any identity.
✔️ @ApplyTime
NIH-funded postdoctoral position is immediately available in the group of Dr. Yuri Dabaghian in the Department of Neurology at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests at the intersection of mathematics, physics, and neuroscience, in the general area of emergent phenomena and representations, network dynamics, topological data analyses. Some projects aim to explain electrophysiological data patterns, some are theoretically motivated. Specifically, we are interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidates will develop data-driven hippocampal neuronal network models explaining spatial learning dynamics, develop and creatively apply tools for the data analysis including novel methods of brain waves (EEG) analyses, Topological Data Analysis of spiking data, etc.
The Position requires strong background in quantitative disciplines (PhD and ongoing interest in computational or theoretical neuroscience, physics, mathematics, or related), plus willingness to do programming and to analyze experimental data. Previous experiences in data analyses are preferred but not required.
All Appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center and have the opportunity to participate in collaborations with groups at Baylor College of Medicine and Rice University.
To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We Strive for a diverse and inclusive environment, and encourage applications from members of any identity.
✔️ @ApplyTime
Hiring several PhD students and PostDocs in Computer Vision, Image Processing and Machine Learning
The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science, University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions.
Julius-Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg!
Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich.
Depending on the position, the successful candidate will focus on a subset of the following
Research Topics:
• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation.
The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.
The successful candidate will also collaborate with industry.
Profile
• Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics
• Good programming knowledge and experience with Python / C++ / MATLAB
• Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing
• Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving
• Fluent written and spoken English is a must.
• Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers.
Timeline
The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax.
Typically a PhD takes ~4 years to complete and a PostDoc position is for at least 1 year.
Applications will be reviewed on a rolling basis until all the positions are filled.
The interviews are scheduled to start after 20.09.2021.
Application
Interested applicants should email asap their PDF documents (including CV, diplomas, trannoscripts of records, referees / recommendation letters, etc.) to Prof.Dr. Radu Timofte, radu.timofte@uni-wuerzburg.de or radu.timofte@vision.ee.ethz.ch
✔️ @ApplyTime
The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science, University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions.
Julius-Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg!
Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich.
Depending on the position, the successful candidate will focus on a subset of the following
Research Topics:
• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation.
The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.
The successful candidate will also collaborate with industry.
Profile
• Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics
• Good programming knowledge and experience with Python / C++ / MATLAB
• Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing
• Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving
• Fluent written and spoken English is a must.
• Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers.
Timeline
The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax.
Typically a PhD takes ~4 years to complete and a PostDoc position is for at least 1 year.
Applications will be reviewed on a rolling basis until all the positions are filled.
The interviews are scheduled to start after 20.09.2021.
Application
Interested applicants should email asap their PDF documents (including CV, diplomas, trannoscripts of records, referees / recommendation letters, etc.) to Prof.Dr. Radu Timofte, radu.timofte@uni-wuerzburg.de or radu.timofte@vision.ee.ethz.ch
✔️ @ApplyTime
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