University Hospital Carl Gustav Carus Dresden, TU Dresden

Postdoctoral Fellow (f/m/x)

Universitätsklinikum Carl Gustav Carus Dresden

Dresden, Germany

In order to advance research on addiction and substance abuse, the German Research Foundation is funding a Collaborative Research Centre (CRC) that encompasses the TU Dresden, Charité Berlin, and CIMH Mannheim. The CRC TRR 265 ‘Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions’ aims at identifying the trajectories of losing and regaining control over drug consumption, studying the underlying cognitive and neurobiological mechanisms, and providing mechanism-based interventions. The CRC and TU Dresden provide an outstanding scientific infrastructure and an ideal environment for interdisciplinary collaboration. For computational work, the group has access to the TU Dresden high-performance computing clusters. Experiments will be performed at the Neuroimaging Centre (https://nic-tud.de). The Neuroimaging Centre is equipped with a research-only 3T Siemens MRI scanner, MRI-compatible EEG and eye tracking, transcranial magnetic stimulation (TMS), and transcranial direct current stimulation (TDCS) units. All experimental facilities are supported by experienced physics and IT staff.

For this project, the Systems Neuroscience Lab at the Department of Psychiatry in the Faculty of Medicine invites applications for a

Postdoctoral Fellow (f/m/x)

This full-time position is based on a fixed-term contract ending June 30th, 2023.

The candidate will work in the project ""Computational modelling of impaired control in addiction"", a collaboration between the Systems Neuroscience Lab (https://tu-dresden.de/bereichsuebergreifendes/nic/research/grps_med/sesyn) and the Cognitive Computational Neuroscience Lab (https://tu-dresden.de/mn/psychologie/ifap/ni/forschung) and will be supervised by Prof. Michael Smolka and Prof. Stefan Kiebel. The aim of the project is to develop computational, neurocognitive models of both habitual and goal-directed actions, and their interaction with Pavlovian mechanisms. These models will be experimentally tested in behavioural and fMRI experiments. The position is ideal for candidates with a strong background in cognitive or computational neuroscience and an interest in interdisciplinary research.

Your tasks:
• Preparing and conducting behavioural and imaging (fMRI) experiments
• Analysing behavioural and fMRI data
• Computational modelling of behavioural data supported by an experienced modelling group
• Attending regular CRC meetings for cross-disciplinary exchange of research findings
• Preparing manuscripts and presenting results at conferences

Your Profile:
• Doctoral degree in Psychology, Cognitive Neuroscience, Computational Neuroscience, or related disciplines
• Strong background in conducting fMRI experiments as well as analysing behavioural and functional MRI data, including knowledge of common software packages (e.g. SPM, FSL, Freesurfer, Presentation, Psych-Toolbox)
• Solid Programming skills in Matlab, R or Python
• Keen interest in experimental approaches to study complex human behaviour

We offer you:
• Being part of the CRC and its scientific activities
• A Position according to TV-L conditions (E13; 100%)
• Working in a highly interdisciplinary team with leading addiction researchers 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. Written applications will of course also be equally considered.

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 PSY0919667. For further Information please contact: Prof. Michael Smolka (michael.smolka@tu-dresden.de).

Please apply via recruiter’s website.

Quote Reference: PSY0919667

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