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Research Assistant (PhD candidate) in Computational Neuroscience - Brain network models: Dynamics and ControlBrain network models: Dynamics and Control

Technische Universität Berlin offers an open position:

Research Assistant - salary grade E 13 TV-L (PhD candidate)

Brain network models: Dynamics and Control

Duration: 34 months

Starting date: March 1st, 2020 (earliest)

Application reference number ("Bewerbungskennziffer"): IV-19/20

Application deadline: February 28th, 2020

Applications will be accepted until the position is filled.

Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing

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.

Qualifications:

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 very good 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 Informations-verarbeitung, 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/

To guarantee equal opportunities between men and women, applications of women with respective qualifications are explicitly welcome. Severely handicapped persons will be privileged on equal qualification.

 

 

Please contact Prof. Dr. Klaus Obermayer for information about other possible job openings

Prof. Dr. Klaus Obermayer
Neural Information Processing Group
MAR 5-6, Marchstrasse 23
10587 Berlin, Germany
email: oby(at)ni.tu-berlin.de

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