Postdoctoral Position (f/m) in Computational Neuroscience
Within the Technische Universität Dresden, the Section of Systems Neuroscience (http://psychiatrie.uniklinikum-dresden.de/0440.html) is closely associated with the collaborative research centre on „Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions” (www.sfb940.de), the Department of Psychology and the Neuroimaging Center, which offers excellent research collaborations and infrastructure, e. g. a 3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, and access to the PET center at Dresden- Rossendorf. Our international and multidisciplinary group conducts basic research in neuroscience at the interface to clinical applications. We investigate the function of neural systems that are involved in elementary cognitive processes such as emotion, motivation, learning, executive function, or decision making. In order to better understand neural mechanisms underlying mental disorders, we investigate how these processes contribute to the complex behavioral dysfunctions observed, for example, in addictive behavior.
Effective immediately the following position is vacant:
Postdoctoral Position (f/m)
in Computational Neuroscience
The salary is according to TV-L disposition. Contract is limited to 33 month.
To further strengthen our lab, we are seeking for a postdoc in Computational Neuroscience. The position is limited till 30.06.2016. The successful candidate will be an independent researcher with proven record in quantitative modeling of complex data with strong organizational and teamwork abilities. Previous experience in brain imaging is not required, but highly useful. The optimal candidate will be in charge of processing behavioral and MRI data (e. g. by using model-based fMRI) and developing new and improving existing methods in the field of computational neuroscience and model-based fMRI analysis. Furthermore, the successful candidate is expected to instruct and supervise Ph.D. students and postdocs. In addition, the position offers the possibility for further scientific qualification (i. e., Habilitation).
Requirements:
Doctoral degree (Ph.D.) in any scientific field of study with a strong quantitative background (e. g., mathematics, informatics, statistics, computational neuroscience, biomedical engineering)
Keen interest in experimental approaches to study complex human behavior
Expertise in computational modeling of behavioral and/or imaging data (e. g., Bayesian binference methods and statistics, hidden Markov modeling, machine learning, reinforcement and temporal difference learning, connectivity analyses).
The ideal candidate would additionally be characterized by:
Sharing our passion to push the limits in understanding the brain
Substantial hands-on experience in the field of neuroimaging, including knowledge of common software packages (e.g. SPM or FSL, Freesurfer, Matlab, Python, Presentation, Psych-Toolbox)
Strong publication record
We offer you the possibility of:
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
Providing for the future in the form of a company pension plan
Women are explicitly invited to apply. Disabled persons will be preferred in case of equal qualification.
We kindly ask you to apply preferably via our online form unter to make the selection process faster and more effective. Of course, you can also submit a written application without being at a disadvantage.
Interested applicants should send their online application with the reference number PSY0913460. Please submit a full CV, transcript of records, statement of research interest (max. 2 pages), and names and contact information for two or three referees.
For more information about the position please contact: Prof. Michael Smolka, +49 351 46342201 or systems.neuroscience@tu-dresden.de.