PhD in Human-AI Collaboration for Psychiatry Research at Technische Universität Darmstadt and Max Planck Institute of Psychiatry Technische Universität Darmstadt in Germany

PhD position in human-AI collaboration for psychiatry research at Technische Universität Darmstadt (UKP Lab) in collaboration with the Max Planck Institute of Psychiatry, Munich, within the Max Planck School of Biomedical AI.

The project focuses on developing interpretable, verification-first, human-AI co-construction methods for exploring and interpreting rich multimodal psychiatric data. The work is aimed at helping psychiatry researchers analyze existing cohorts such as the BeCOME study and other clinical datasets.

Supervision is jointly provided by Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt) and Prof. Dr. Dr. Elisabeth Binder (Director, Max Planck Institute of Psychiatry). The post is embedded in a strong interdisciplinary environment with access to the MPS-BMAI / ELIZA / ELLIS networks.

Eligibility: a Master's degree in Computer Science, NLP, Machine Learning, Data Science, Computational Neuroscience, or a related field; solid programming and ML skills; interest in mental health and interdisciplinary research; willingness to work in a team inside and outside the lab.

Funding: E13 contract for 36 months. The post is described as a funded PhD position; no tuition fee information is provided.

Application: candidates are nominated by a supervisor pair to the Max Planck School, so interested applicants should contact the supervisors as early as possible. The application portal requests a motivation letter, CV, transcripts/certificates, work experience, recommendation letters, and other supporting documents. Incomplete applications are discarded.

Deadline: 24 July 2026. Applications are reviewed on a rolling basis, so early submission is encouraged.