[visionlist] PhD Position: Deep learning architectures for hierarchical motor control, (Tübingen), Germany

[Compsens]

PHD 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 for a project on the learning of  
hierarchical neural models for motor control. The position is funded  
for duration of 3 years within a collaborative project with M.I.T.  
(Cambridge, MA), the Weizmann Institute (Rehovot, Israel), and  
Northeastern University (Boston, USA). We offer employment with salary  
(E13/14, 60%) and social benefits based on German DFG standards.
The goal of the project is to develop biologically-inspired  
machine-learning models for hierarchical representations in motor  
control, specifically exploiting new techniques from the field of Deep  
Learning.

What we offer:
•being part of an inspiring multidisciplinary and international research team
•possibility to obtain a PhD in Neuroscience at the International  
Graduate Training Center for Neuro-science in Tuebingen or of a PhD in  
Computer Science at Tuebingen University
•specialized courses, summer schools, seminars by renowned experts
•stimulating interdisciplinary scientific environment (HIH among top 3  
European institutions for clinical brain research; Bernstein Center  
for Computational Neuroscience; 3 Max Planck Institutes: Biological  
Cybernetics, Intelligent Systems, and Developmental Biology).
•active participation at international conferences
•collaborations with leading international partners in neuro- and  
computer science (including M.I.T, KU Leuven, Imperial College,  
CALTECH, etc.)

What we are looking for:
•person with Master degree in Computational Neuroscience or a related  
discipline (Computer Science, Engineering, Physics, Mathematics,  
Cognitive Science, Mathematical Psychology, etc.)
•enthusiasm for research
•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:

------------------------------------------------------------------------------

    Prof. Dr. Martin Giese
    Section for Theoretical Sensomotorics, Dept. for Cognitive Neurology
    Hertie Institute for Clinical Brain Research &  Center for  
Integrative Neuroscience
    University of Tuebingen, Otfried-Müller Str. 25, D-72076 Tuebingen
    GERMANY

    Tel.: +49 7071 2989124
    Email: martin.giese at uni-tuebingen.de
    Web: http://www.compsens.uni-tuebingen.de/