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Postdoctoral Fellow (f/m) in Computational Neuroscience
Collaborative Research Center (CRC 940) / Universitätsklinikum Carl Gustav Carus Dresden / Technische Universität Dresden
Within the Technische Universität Dresden, the Section of Systems Neuroscience is closely associated with the Departments
of Psychiatry and Psychology and the Neuroimaging Center, which offers excellent research collaborations and infrastructure
such as a 3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking as well as TMS and TDCS. Our international
and multidisciplinary group conducts cognitive neuroscience research at the cutting edge to clinical applications. In order to better
understand human action control we investigate cognitive processes such as executive functions, learning, decision making, or motivation,
and the function of neural systems involved herein. On the clinical side we study how these neuro-cognitive mechanisms contribute to
the complex behavioral dysfunctions observed, for example, in addictive behavior. In its 2nd funding period the Collaborative Research
Center (CRC 940) “Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions” comprises of 14 projects with
a budget of over 10 Mill. €. The center combines expertise from experimental and biological psychology, cognitive-affective
neuroscience, lifespan developmental neuroscience, clinical psychology and psychiatry to investigate cognitive and neural mechanisms
and modulators of volitional control, the development and aging of these mechanisms, and volitional dysfunctions in selected mental
disorders. The CRC and the TU Dresden (which is one of the 11 Universities of Excellence selected by the German Research Foundation
and the German Council of Science and Humanities) provide an outstanding scientific infrastructure and ideal environment for
Within this CRC, we invite applications for a
Postdoctoral Fellow in Computational Neuroscience (f/m)
The salary is according to the E13 TV-L dispositions. Contract is initially limited till July 2020.
The successful candidate will be an independent researcher with proven record in computational modeling of behavioral data and
strong team-work abilities. Previous experience in brain imaging is not required, but highly useful. The candidate will be in
charge of modelling behavioral data from decision-making and executive control tasks, improving existing and developing new
methods in the field of computational neuroscience. Furthermore, the successful candidate is expected to instruct and supervise
PhD students. In addition, the position offers the possibility for further scientific qualification (i.e. Habilitation).
Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background (e.g. mathematics, computer science, physics, statistics, computational neuroscience)
Expertise in computational modeling of behavioral data (e.g. reinforcement and temporal difference learning, machine learning, hidden Markov modeling, Bayesian inference methods and statistics)
Programming skills in any common software environment (e.g. Python, MATLAB, E-Prime / Presentation / PsychToolbox)
Keen interest in experimental approaches to study complex human behavior
The ideal candidate would additionally be characterized by:
Substantial hands-on experience in the field of neuroimaging, including knowledge of common software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, PsychToolbox)
Strong publication record
Sharing our passion to push the limits in understanding the brain
We offer you the possibility of:
Being part of the CRC and its scientific activities
Working in an interdisciplinary team contributing to our understanding of the brain with the particular skills that you already have and will further develop
Arranging for flexible working hours to find a balance between work and family life
Women are explicitly invited to apply. Disabled persons will be preferred in case of equal qualification.
Complete applications (including a full CV, transcript of records, statement of research interest (max. 2 pages), and names and contact information for two or three referees) can either be loaded up
or sent as one PDF-document via email with ‘Application-Comp-Neurosci’ in the email subject line to Prof. Dr. Michael Smolka
(email@example.com). Application deadline is April 30. For more
information about the position please contact us via email or telephone (+49 351 463 42201).