Klaus Obermayer

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Neural Information Processing Group @ Technische Universität Berlin


Research Assistant (PhD Position) in Computational Neuroscience

Brain network models: Dynamics and Control


Salary grade E13 (TV-L Berliner Hochschulen)
Duration: 34 months
Starting date: March 1st, 2020


Working field:

The successful candidate is supposed to work on the analysis and
simulation of calibrated whole-brain networks using neuronal mass
models and on the design and evaluation of novel control schemes for
the stabilization of and the switching between dynamical states.
She/he will be part of the Collaborative Research Center “Control of
self-organizing nonlinear systems: Theoretical methods and concepts
of application” (https://www.itp.tu-berlin.de/sfb910/
sonderforschungsbereich_910/sonderforschungsbereich_910/) as well as
the Bernstein Center for Computational Neuroscience Berlin
(https://www.bccn-berlin.de/). The candidate is also expected to
interact with clinical scientists who are interested in the
non-invasive manipulation of the whole-brain dynamics using
transcranial current stimulation.


Requirements:

Successfully completed university degree (Master, Diplom, or
equivalent) in Computational Neuroscience, Computer Science, Electrical
Engineering, Mathematics, Physics, or related fields; in-depth knowledge
in dynamical systems, knowledge in the area of control of
non-linear dynamical systems is desirable; very good programming and
English language skills.


How to apply:

Please send your application with the usual documents (CV, motivation
letter, transcripts of records, certificates, and the names of two
persons who can provide recommendation letters) to Prof. Dr. Obermayer,
FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23,
10587 Berlin, Germany, or - preferably - by e-mail to
klaus.obermayer@tu-berlin.de. For information about the research group
see https://www.ni.tu-berlin.de/

Please send copies only. Original documents will not be returned.


Aplication deadline for full consideration: 31. 1. 2020
Applications, however, will be accepted until the position is filled.