[visionlist] PhD / Postdoc in Computational Neuroscience, Tuebingen, Germany

PHD / POSTDOC POSITION: DEEP LEARNING ARCHITECTURES FOR HIERARCHICAL
MOTOR CONTROL

(Hertie Institute / Center for Integrative Neuroscience, University of
Tuebingen, Germany)

The Section for Computational Sensomotorics at the Center for
Integrative Neurosciences (CIN) and the Hertie Institute for Clinical
Brain Research (HIH) at the University of Tuebingen invites
applications for a PhD student/ Postdoc for a project on the learning
of hierarchical neural models for motor control. The position is
funded for within a collaborative project with M.I.T. (Cambridge, MA),
the Weizmann Institute (Rehovot, Israel), and Northeastern University
(Boston, USA). Salary is according to German DFG standards.

The goal of the project is to develop biologically-inspired
machine-learning techniques for the modeling of hierarchical
representations in motor control, specifically exploiting new
techniques from the field of Deep Learning.

What we offer:
•possibility to obtain a PhD in Neuroscience in the international
Graduate Training Center for Neuro-science in Tuebingen (offering > 40
courses in almost all relevant fields of neuroscience and ML)
•top scientific environment (HIH among top 3 European institutions for
clinical brain research; CIN is a Research Cluster as part of German
Excellence Initiative; Bernstein Center for Computational
Neuroscience; Tuebingen hosts 3 Max Planck Institutes: Biological
Cybernetics, Intelligent Systems, and Developmental Biology)
•close collaborations with leading international partners in neuro-
and computer science

What we are looking for:
•person with Masters degree in Computational Neuroscience or a related
discipline (Computer Science, Engineering, Physics, Mathematics,
Cognitive Science, Mathematical Psychology, etc.)
•highly-motivated person with enthusiasm for research, high degree of
independence, and motivation of self-driven pursuit of difficult
problems
•strong mathematical background and basic programming skills (at least
in C++ , MATLAB or Python); willingness to learn relevant techniques
and software for deep learning, and the simulation of biological neurons
•interest in motor control and related technical applications
•English speaking and writing skills.

Committed to Equal Opportunities.

Interested candidates should send their application, including a CV,
all marks from studies, 2 letters of reference, and a short research
statement of about one half page (explaining how your skills might
support a project on learning of hierarchies in motor control) to:

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