Elisabeth Binder

PhD opportunity in human-AI collaboration for psychiatry research at the Max Planck School of Biomedical Artificial Intelligence in Germany. The project is jointly supervised by Prof. Iryna Gurevych (UKP Lab, Technische Universität Darmstadt ) and Prof. Elisabeth Binder (Director, Max Planck Institute of Psychiatry , Munich). The research focuses on developing interpretable AI , machine learning , and human-AI co-construction methods to help psychiatry researchers explore and interpret rich multimodal psychiatric data , including cohorts such as the BeCOME study . Relevant study areas include computer science , NLP , machine learning , data science , and computational neuroscience , with a strong interdisciplinary link to psychiatry and biomedical AI . The post is aimed at candidates with a Master's degree in one of these areas or a closely related field, plus solid programming and ML skills and a strong interest in mental health research. Funding and conditions: the position is offered as an E13 contract for 36 months . The post is embedded in the Max Planck School network and provides access to clinical data and the MPS-BMAI / ELIZA / ELLIS networks. Application process: candidates are nominated by a supervisor pair to the Max Planck School, so interested applicants should contact the supervisors as early as possible. The post states that applications are reviewed on a rolling basis. Deadline: 24 July 2026 . Apply via the linked portal and quote the reference to this post. The UKP application page requests a motivation letter, CV, certificates/transcripts, and any publications or recommendation letters if available.

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.