Postdoctoral position, (f/m/x) in Computational Neurology

The Chair of Computational Neurology at the Faculty of Medicine is looking for a

Postdoc (f,m,x), for 2 years with 39,83 hours per week, TV-L E13

The research of Prof. Dr. Xenia Kobeleva and her team focusses on model-based personalization of neurostimulation for neurological disorders. Our team is highly interdisciplinary and involves neurologists, engineers, psychologists and neuroscientists. Our translational and interdisciplinary research at the intersection of medicine and computer science is targeted towards (1) understanding how (dynamical) brain network patterns are influenced by neuropsychiatric diseases, and (2) investigating in-silico and in-vivo possibilities to attenuate pathological or enhance compensatory processes (e.g., using neuromodulation).
We invite applications for a postdoctoral researcher with excellent technical skills in the field of neurostimulation and EEG with a track record (i.e., publications) to join our research group.
extent: full-time
duration: temporary beginning: as soon as possible
application deadline: 03.02.2025

Your tasks:

• Independently plan and conduct scientific studies (e.g., ethical application, elaboration of study design, recruitment, collection and storage of data).
• Work in direct contact with patients with neurological impairments and healthy young and elderly participants.
• Autonomous neurostimulation and EEG data analysis and critical interpretation.
• Presenting results in national and international conference and publish in peer-reviewed journals.
• Supervision of junior team members.

Your profile

• You have a PhD in psychology, neuroscience, neurobiology, biomedical engineering or similar.
• Experience in practical application of TMS or EEG, experience in both is a plus.
• Having experience in designing and running behavioral experiments is advantageous.
• You are experienced with neuroimaging analysis tools (e.g., MNE-Python, EEGLAB) and statistical tools (R, Stata or similar) or programming (ideally Python).
• You have a strong interest in neuroscientific methods as well as in elaborating potential treatment options for neuropsychiatric disorders.
• You are fluent in English and have a good knowledge of German.
• You demonstrate good communication, organizational and teamwork skills.