[Comp-neuro] postdocs with Peter Dayan in Tübingen

Peter Dayan dayan at tue.mpg.de
Sun Jun 7 16:17:40 CEST 2020

Postdoc(s) in Neural Reinforcement Learning / Computational Psychiatry
(m/f/d) 100%

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.

There are also targeted positions on the computational anatomy of
cortico-striatal connections (funded by a collaborative NIH grant with
Professor Suzanne Haber) and with the International Brain Lab (a large
collaboration with 20 other investigators, funded by the Simons

Peter Dayan has an affiliation with the University of Tübingen and the
Max Planck Institute for Biological Cybernetics and collaboration is

The salary will be paid in accordance with the collective agreement for
the public sector (salary at E13 TV-L, commensurate to experience and
qualifications). The positions are available immediately, and are
initially limited to two years (with the possibility of extension).

Please direct scientific inquiries to dayan at tue.mpg.de and
administrative inquiries to susan.fischer at tue.mpg.de.

Responsibilities include:

• Planning and carrying out research projects, for instance building
  theories and computational models of data from human and animal
  experiments, conducting experiments, analysing behavioural 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. 

The successful candidate(s) should have a PhD 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 are
essential. The candidate(s) should be able to work independently and
troubleshoot and should show good capacity and value for teamwork and
communication skills.

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.

We offer an open research culture, where original thinking and academic
merit are encouraged and nurtured, and encourage applications from all
nationalities, backgrounds, and genders. The University of Tübingen is
dedicated to increase the percentage of female employees in the field of
science. Therefore, female candidates are strongly encouraged to apply.

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
Applications arriving before June 30th 2020 will receive full
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