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 basic neuroscience research at the cutting edge to clinical applications. We investigate the function of neural systems that are involved in cognitive processes such as learning, emotion, motivation, executive function, and decision making. In order to better understand neural mechanisms underlying mental disorders, we explore how these processes contribute to the complex behavioral dysfunctions observed, for example, in addictive behavior.
In its 2nd funding period the Collaborative Research Center (CRC) "Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions" comprises of 14 projects with a budget of over 10 Mill. € ( www.sfb940.de
). 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 interdisciplinary cooperation. Within this CRC, we invite applications for Project B3 on "Aging and Neuromodulation of Complementary Control Processes" as:
Postdoctoral Fellow in Cognitive Neuroscience (f/m)
The salary is according to the E13 TV-L dispositions. Contract is limited till July 2020.
The project conducts pharmaco-fMRI studies in younger and older adults to investigate how aging may moderate dopaminergic modulation of complementary control processes in tasks subserved by the frontal-hippocampal-striatal circuitries (e.g., perceptual, spatial, and dynamic decision tasks). The successful candidate will be involved in implementing experimental protocols, computational modeling of behavioral data and model-based fMRI analysis. Furthermore, the successful candidate is expected to undertake project management duties including supervision of Ph.D. students, and student research assistants, data management, and publication of the results. The postdoc will also have the opportunity to contribute to CRC-Project A7 "Brain States Representing Dynamcis of Metacontrol".
The ideal candidate would additionally be characterized by:
- Doctoral degree (Ph.D. or M.D.) in Cognitive Neuroscience, Psychology, Computational Neuroscience, or Medicine or related disciplines
- Strong background in conducting fMRI experiments and analyzing behavioral and functional MRI data, including knowledge of common software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, Psych-Toolbox)
We offer you the possibility of:
- Expertise in computational modeling (e.g., Rescorla-Wagner, Hidden Markov, Bayesian inference methods) of behavioral data
- Experiences with advanced imaging data analyses
- Programming skills in any common software environment (e.g., MATLAB, Python, E-Prime/Presentation/PsychToolbox)
- Sharing our passion to push the limits in understanding the brain
- Keen interest in experimental approaches to study complex human behavior
- Strong publication record
- 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. Handicapped persons will be preferred in case of equal qualification.
We kindly ask you to apply preferably via our online form
to make the selection process faster and more effective. Of course, we also consider your written application without any disadvantages.
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) should be sent preferable as one PDF-document via email with Application-PhD-SFB-B3) in the email subject line to Prof. Dr. Michael Smolka (email@example.com
). Application deadline is December 3. For more information about the position please contact us via email or telephone (+49 351 463 42201).