Benutzerspezifische Werkzeuge

Postdoctoral Fellow in Compuational Neuroscience  (f/m/x)

Within the Technische Universität Dresden, the Section of Systems Neuroscience (Prof. Michael Smolka) 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 behavioural dysfunctions observed in mental disorders.

Within these CRCs, the Systems Neuroscience Lab at the Department of Psychiatry in the Faculty of Medicine invites applications for a

Postdoctoral Fellow in Compuational Neuroscience (f/m/x)

This full-time Position is initially limited until June 30th, 2023.

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 behaviour.

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) in the field of computational neuroscience 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) in any scientific field of study with a strong quantitative background (e.g., computational neuroscience, physics, mathematics, computer science, statistics)
  • Doctoral degree or 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 CRC and its scientific activities
  • A Position according to the TV-L conditions (E 13; 100%)
  • Working in a highly interdisciplinary team with leading cognitive and computational neuroscientists
  • Arranging for flexible working hours to find a balance between work and family life

Disabled people are explicitly encouraged to apply.

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.

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 15th 2019, online with Registration number PSY0919668. For further Information please contact: Prof. Michael Smolka (