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Tobias Hauser

Professor of Computational Psychiatry

Eberhard Karls Universität Tübingen

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Germany

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Research Interests

Neuropsychology

10%

Artificial Intelligence

10%

Psychology

10%

Medical Science

10%

Decision Making

10%

Cognitive Science

10%

Computer Science

10%

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Positions1

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Tobias Hauser

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Eberhard Karls Universität Tübingen

PhD Position in Computational Psychiatry, Neuroscience, and AI at Eberhard Karls Universität Tübingen

A PhD position is available in the group of Professor Tobias Hauser at Eberhard Karls Universität Tübingen, Germany. The research focuses on computational psychiatry, leveraging neuroscience and artificial intelligence to innovate mental healthcare. The Wellcome Trust funded project investigates the computational psychiatry of information gathering, with a particular emphasis on decision making in individuals with obsessive-compulsive disorder (OCD) and schizophrenia. The successful candidate will join an international and interdisciplinary team, working on neuroimaging (fMRI), behavioural tasks, and computational modelling. The project aims to understand the neural and cognitive mechanisms underlying information gathering and decision making in clinical populations, contributing to the development of new interventions in mental health. Applicants should have a strong background in neuroscience, psychology, computational modelling, or a related field. Experience with fMRI, behavioural experiments, and working with clinical populations is highly desirable. Proficiency in programming and data analysis, as well as a good command of English, are important for this role. The position is funded by the Wellcome Trust Foundation, though specific details about the stipend or tuition coverage are not provided in the announcement. Interested candidates are encouraged to review the full job description via the provided link and follow the application instructions. This is an excellent opportunity for students interested in computational neuroscience, psychiatry, and the application of AI in mental health research.