PhD in Human-AI Collaboration for Psychiatry Research at Max Planck School of Biomedical AI Max Planck School of Biomedical Artificial Intelligence in Germany

PhD opportunity in Human-AI Collaboration for Psychiatry Research at the Max Planck School of Biomedical Artificial Intelligence in Germany.

This fully funded doctoral position focuses on developing machine learning, multimodal data integration, and interpretable AI methods to help clinicians and researchers explore, integrate, and understand complex psychiatric data. The project is linked to the BeCOME study, a deep-phenotyping cohort combining genetic, molecular, neuroimaging, actigraphy, neurocognitive, and psychometric data to identify biologically informed subtypes of stress-related disorders.

The position is jointly supervised by Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt) and Prof. Dr. Dr. Elisabeth Binder (Director, Max Planck Institute of Psychiatry, Munich). The research sits at the intersection of computer science, psychiatry, medical science, neuroscience, and statistics, with a strong emphasis on privacy-preserving and ethically grounded handling of sensitive clinical data.

Eligibility highlights include a Master’s degree in Computer Science, NLP, Machine Learning, Data Science, Computational Neuroscience, or a related field; solid programming and ML skills; and very good English. Experience with multimodal, biomedical, or NLP data is considered a plus. Applicants should also be willing to work across Darmstadt and Munich.

Funding includes a fully funded E13 employment contract for 36 months, plus access to strong compute, structured training, and international doctoral networks such as MPS-BMAI, ELIZA, and ELLIS.

Application timeline: contact the supervisors as early as possible for nomination. The application deadline is 2026-07-24. An in-person meeting is planned for September 2026, and the official Cohort 0 start is expected between December 2026 and February 2027.