*Doctoral* and *Master Program* “Computational Neuroscience”
at the Bernstein Center for Computational Neuroscience Berlin
in Berlin, Germany

Application deadline: *March 15, 2016*
Begin of courses: October 2016
Internet: www.computational-neuroscience-berlin.de

Doctoral Program

The Bernstein Center for Computational Neuroscience Berlin and the TU
Berlin invite applications for *6 fellowships* of the Research Training
Group “Sensory Computation in Neural Systems” (GRK 1589/2,

The *scientific program* of the research training group combines
techniques and concepts from machine learning, computational
neuroscience, and systems neurobiology in order to specifically address
sensory computation. Doctoral candidates will work on interdisciplinary
projects investigating the mechanisms of neural computation, address the
processes underlying perception on different scales and different levels
of abstraction, and develop new theories of computation hand in hand
with well-controlled experiments in order to put functional hypotheses
to the test.

The training group offers structured supervision complemented by a
teaching and training program. Each student will be supervised by two
investigators with complementary expertise and will be associated with
the Bernstein Center for Computational Neuroscience Berlin
(https://www.bccn-berlin.de/) a leading research center dedicated to the
theoretical study of neural processing.

Candidates are expected to hold a Masters degree (or equivalent) in a
relevant subject (e.g., neuroscience, cognitive science, computer
science, physics, mathematics, etc.) and have the required advanced
mathematical background.

Candidates selected in the first application step will be invited for
lab visits and an interview, expected to take place in June 2015. The
*fellowships of 1468 €/month* – with additional children allowances if
applicable—will be granted for up to three years.

Master’s Program

The tuition-free Master program in Computational Neuroscience offers *15
places* per year, has a duration of 2 years and is fully taught in English.

The *curriculum* is subdivided into ten modules, whose content includes
theoretical neuroscience, programming, machine learning, cognitive
neuroscience, acquisition, modelling, and computational analysis of
neural data, with a strong focus on a complementary theoretical and
experimental training. Three lab rotations and a Master’s thesis are
accomplished in the second year. The aim of the program is to provide
the students with an interdisciplinary education and an early contact to
the neurocomputational research environment.

*Requirements* BSc or equivalent degree in a relevant subject (typically
in the natural sciences, in an engineering discipline, in cognitive
science, or in mathematics), certificate of English proficiency, proof
of sufficient mathematical knowledge (at least 24 ECTS credit points).


For more information:

… come and visit us at the BCCN Berlin:

… or browse:

… or e-mail:
graduateprograms@bccn-berlin.de .


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