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University Medical Center Hamburg-Eppendorf

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PhD in Computational Neuroscience and Game-Theoretical Network Analysis of Stroke Recovery University Medical Center Hamburg-Eppendorf in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

65% part-time temporary PhD position for three years, funded by third-party funding. Compensation follows the collective bargaining agreement (TVöD/VKA); salary range given for full-time equivalent is €63,600–€91,100 depending on qualifications and experience.

Deadline

Oct 26, 2026

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Country

Germany

University

University Medical Center Hamburg-Eppendorf

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Keywords

Computer Science
Psychology
Mathematics
Python Programming
Neuropsychology
Medical Science
Game Theory
Traumatic Brain Injury
Stroke Rehabilitation
Social Neuroscience
Physics

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About this position

PhD position in Computational Neuroscience at the University Medical Center Hamburg-Eppendorf (UKE), Institute of Computational Neuroscience (ICNS Hamburg).

The project focuses on game theory, network neuroscience, computational analysis and modelling, and clinical stroke research. The doctoral work aims to understand how brain lesions reveal causal contributions of brain regions and their interactions to behaviour, and how these insights may help predict recovery after stroke and identify rehabilitation targets.

The position is embedded in an international research programme with collaborators in Ghent, Paris, and Amiens, and sits at the interface of computational neuroscience, neuroimaging, neuropsychology, experimental brain perturbation, and open science. The successful candidate will work with Prof. Claus C. Hilgetag and contribute to methods development, lesion inference, higher-order network interactions, and reproducible Python-based analysis tools.

Funding and conditions: 65% part-time, temporary for three years, funded by third-party funding. The post provides the opportunity to obtain a PhD. Compensation follows TVöD/VKA; the ad lists a full-time equivalent salary range of €63,600–€91,100 depending on qualifications and experience.

Eligibility highlights: Master’s degree or equivalent in a relevant quantitative field such as computational neuroscience, systems neuroscience, psychology, medicine, computer science, physics, mathematics, biomedical engineering, or a related discipline. Strong analytical and computational skills, especially Python, are required, along with independent scientific thinking, motivation for clinically meaningful quantitative research, and fluent English. Prior related experience is advantageous.

Application materials: CV with two academic referees, degree certificates and transcripts, a concise motivation letter, links/copies of publications, preprints, software repositories or conference contributions, and a brief one-page description of a project where you played a substantial independent role.

Deadline: 2026-10-26.

Funding details

65% part-time temporary PhD position for three years, funded by third-party funding. Compensation follows the collective bargaining agreement (TVöD/VKA); salary range given for full-time equivalent is €63,600–€91,100 depending on qualifications and experience.

What's required

Master’s degree or equivalent qualification by the starting date in a relevant field such as computational neuroscience, systems neuroscience, psychology, medicine, computer science, physics, mathematics, biomedical engineering or a related quantitative discipline. Applicants should have independent scientific thinking and productivity, strong analytical and computational skills including proficiency in Python, the ability and interest to understand complex mathematical or computational concepts, strong motivation to apply quantitative methods to clinically and translationally meaningful questions, fluent written and spoken English, and prior practical experience related to the project is advantageous. Scientific initiative and quantitative aptitude are expected; evidence of independence may include an ambitious Master’s project, publications or preprints, conference contributions, scientific software, open-source work, or other substantial independent research activity.

How to apply

Prepare a CV with contact details for two academic referees, degree certificates and transcripts, a concise motivation letter, links or copies of relevant publications/preprints/software/conference contributions, and a brief one-page description of one project where you played a substantial independent role. Submit the application through the UKE job portal via the Apply Now link.

More information can be found here

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