PhD Position in AI-Integrated Neuroimmunology at Ludwig Maximilian University Munich

The Ludwig Maximilian University Munich (LMU) is offering a fully funded PhD position in AI-integrated Neuroimmunology, located at the Biomedical Center Munich. The research is conducted within the Systems Neuroimmunology Laboratory, part of the Institute of Clinical Neuroimmunology and the Cluster of Excellence SyNergy. The position is formally based at the University Medical Center Hamburg-Eppendorf (UKE) with a permanent secondment to LMU Munich. The research focus is on neuroimmunology with advanced artificial intelligence and computational biology approaches. The project aims to decode molecular mechanisms of pregnancy-mediated immune suppression using high-dimensional multi-omics data, bridging human patient samples, pregnancy cohorts, and AI-driven analyses. The work involves planning and performing large-scale experiments, validating computational findings through laboratory experiments, and developing protocols involving omics methods, immune cell assays, and flow cytometry. The environment is highly interdisciplinary, with close collaboration among biologists, clinicians, and data scientists. Applicants must hold a Master's degree in Biology, Biotechnology, Bioinformatics, Immunology, or a related field. A strong interest in computational science and AI is essential, though prior formal training is not required. Experience with immunological methods and familiarity with omics and sequencing technologies are advantageous. Excellent teamwork, communication skills, and creativity are expected. International candidates are encouraged to apply. Employment is contingent upon proof of immunization or immunity against the measles virus. The position is fully funded for three years at 65% of regular weekly working hours, with compensation according to TVöD/VKA. Additional benefits include comprehensive onboarding, training and education programs, and sustainable travel subsidies. The university values diversity and equal opportunity, with a commitment to increasing the proportion of women in scientific roles and supporting candidates with disabilities. To apply, submit your CV, motivation letter, and contact information for two references. The application deadline is 28 February 2026. For more information, visit the provided links or contact Professor Max Kaufmann at [email protected].