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In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) Between 01.08. and 15.09.2026 (to be discussed), we are looking for 1

Postdoctoral associate (m/w/d) in the Computational Neurology Group

The Computational Neurology group at Ruhr University Bochum (RUB), led by Prof. Dr. Xenia Kobeleva, investigates clinically relevant questions in neuropsychiatry and neurodegenerative diseases using advanced computational approaches, including machine learning, artificial intelligence, and brain modeling. The group is situated in the Institute for Neural Computation and is part of the Bernstein Node Bochum of the Science Hub Neuroscience. Our group works at the interface of clinical neuroscience (neurostimulation and neurodegenerative diseases) and computational neuroscience (whole-brain network neural modeling, parameter inference, control theory), with a strong focus on translational research that connects computational methods to real-world clinical data and patient-oriented questions. Our team is young, motivated, international, and genuinely interdisciplinary, bringing together expertise from medicine, neuroscience, psychology, and quantitative sciences. Besides a direct connection to clinical neurology, we are intensively collaborating with world-leading experts for mathematics and computer science.

Scope: full-time
Duration: fixed-term, two years
Start: Between 01.08. and 15.09.2026 (to be discussed)
Apply by: 2026-05-15

Your tasks:

• Developing hybrid NeuroAI models at the interface of artificial neural networks and differential-equation-based models.
• Presenting results in national and international conference and publish in peer-reviewed journals.
• Supervision of junior team members.
• Writing of grant proposals.

Your profile:

• You are genuinely curious and interested in exploring how the brain works and what can be done to fix it in case of disorders. You can solve problems in a creative way and like to define research gaps by looking across applied and theoretical research. You have experience in interaction both with experimental and theoretical scientists, evidenced by interdisciplinary publications.
• You have a PhD (awarded in 2023 or later) with a quantitative background (such as computational neuroscience, computer science, physcis, mathematics, biomedical engineering, or similar) with prior experience in neural networks (either based on PDE or ANN or ideally both), and you are expert in Python programming.
• Ideally, you are experienced in dynamical systems, and preprocessing and analyzing macroscale neuroimaging data.
• You have a strong interest in neuroscientific methods as well as in elaborating potential diagnostic and treatment options for neuropsychiatric disorders.
• You demonstrate good communication, organizational and teamwork skills.

https://jobs.ruhr-uni-bochum.de/jobposting/8b09ee0e21196cae387ad6cc14eca79d5cb343080?ref=AfA