Designation/Position- Postdoc(S) Position
University of Tübingen, Germany invites application for Postdoc(S) Position from eligible and interested candidates
About- The University of Tübingen is one of the Excellence Universities in Germany. It is home to a vibrant research community, with very strong research activity in Neuroscience and Clinical Psychology / Psychiatry as well as Artificial Intelligence and Machine Learning.
Research/Job Area- Computational neuroscience or related fields
Location- University of Tübingen, Germany
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Eligibility/Qualification–
- The successful candidate(s) should have a Ph.D. in computational neuroscience or related fields.
- Proficiency in a high level mathematical or statistically-oriented programming language such as python, R, Julia or Matlab, and intimate familiarity with advanced data analysis is essential.
- The candidate(s) should be able to work independently and troubleshoot and should show good capacity and value for teamwork and communication skills.
Job/Position Description-
Peter Dayan is looking to hire one or more postdocs (100%) to work in the areas of neural reinforcement learning, computational neuromodulation, and computational psychiatry. These positions will start in the Faculty of Science, Department of Computer Science, University of Tübingen, as part of an Alexander-von-Humboldt Professorship award.
Responsibilities include:
- Planning and carrying out research projects, for instance, building theories and computational models of data from human and animal experiments, conducting experiments, analyzing behavioral and neural data, writing, and editing scientific papers/reports.
- Helping to mentor and supervise student projects.
- Participating in scientific conferences.
- Helping to organize and conduct collaborations in Tübingen as well as nationally and internationally
- Helping with building and running an effective academic lab environment at the intersection between the Max Planck Institute for Biological Cybernetics and the science and medical faculties at the University of Tübingen.
How to Apply-
Please direct scientific inquiries to dayan[at]tue.mpg.de and administrative inquiries to susan.fischer[at]tue.mpg.de.
Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, the position for which the application is intended, and the names and contact details of three referees. Applications should be sent in a single PDF to: susan.fischer[at]tue.mpg.de.
Last Date for Apply– 30 June 2020
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