Postdoc position in Computational Cognitive Neuroscience - TU Dresden - Correction
(Apologies for re-posting because of a broken web link) Dear colleagues, the Systems Neuroscience Lab (Prof. Michael Smolka) at TU Dresden invites applications for a Postdoctoral Fellow in Computational Neuroscience The position is initially limited until June 30 th, 2023, and is subject to TV-L remuneration (E13 scale, 100%). 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 (e.g. Computational Cognitive Neuroscience Lab, Prof. Stefan Kiebel) and infrastructure (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 and the translation to clinical applications. In order to better understand human action control we investigate cognitive processes such as value-based decision-making and learning. On the clinical side we study how these neuro-cognitive mechanisms contribute to the complex behavioral dysfunctions observed in mental disorders. Our lab is engaged in two Collaborative Research Centers (CRC). The CRC 940 ‘Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions’, and the newly established TRR 265 ‘Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions’. These centers combine research in cognitive and computational neuroscience with research in clinical psychology and psychiatry. The position is an ideal opportunity to work in an interdisciplinary group of researchers, and contribute to a wide range of projects investigating computational and neuronal underpinning of human behavior Your tasks: • Computational modelling of behavioural data from decision-making tasks • Improving existing and developing new methods (e.g., reinforcement/temporal difference learning, Markov models, Bayesian and active inference models) with support by an experienced modelling group • Preparing manuscripts and presenting results at conferences • Instructing and supervising PhD students Your profile: • University degree (master or diploma) with a strong quantitative background (e.g., computational neuroscience, physics, mathematics, computer science, statistics) • Doctoral degree and documented interest in Computational Neuroscience, Cognitive Neuroscience, Psychology • Expertise in computational modelling of behavioural data • Programming skills in common software environments (e.g., Python, MATLAB) • Keen interest in collaboration with experimental researchers to study complex human behaviour • Expertise in neuroimaging data analysis would be advantageous We offer you: • Being part of the CRCs and their scientific activities • Working in a highly interdisciplinary team with leading cognitive and computational neuroscientists We look forward to receiving your complete application (one PDF-document including a cover letter with a brief summary of research interests, full CV, and two references) until July 29th, 2019. To apply and for informal inquiries, please contact: Prof. Michael Smolka (michael.smolka@tu-dresden.de).
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Lorenz Goenner