The newly established Systems Neuroimmunology Laboratory at LMU Munich (www.m-kaufmann.com) is seeking a motivated and creative PhD candidate passionate about combining immunologic methods and advanced computational approaches, including artificial intelligence (AI). The group is located within the Institute of Clinical Neuroimmunology (https://www.neuroimmunology-munich.de/). The professorship of Systems Neuroimmunology is part of the Cluster of Excellence SyNergy (https://synergy-munich.de).
This position is part of the Collaborative Research Centre CRC1713 (Maternal Immune Activation: Causes and Consequences). Pregnancy represents a unique natural model of immune tolerance, effectively inducing temporary remission in autoimmune conditions like multiple sclerosis. Our goal is to "learn pregnancy’s code" to understand these natural protective mechanisms and translate them into novel therapeutic strategies for neuroimmunologic diseases.
The PhD Project involves:
- Planning and performing innovative large-scale experiments bridging human patient samples, pregnancy cohorts, and cutting-edge AI-driven analyses
- Decoding the molecular mechanisms of pregnancy-mediated immune suppression using high-dimensional multi-omics data
- Validation of computational findings through functional laboratory experiments
- Developing and optimizing protocols involving omics methods, immune cell assays, and flow cytometry
- Close collaboration with biologists, clinicians, and data scientists within a highly interdisciplinary environment
Table of Content
Summary
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Benefits
- Attractive compensation according to TVöD/VKA
- Secure employment with meaningful work and respectful collaboration
- Comprehensive onboarding and open knowledge exchange within the team
- Extensive training and further education programs at our UKE Academy for Education and Careers
- Opportunities to contribute to our “UKE INside” personnel policy through cross-professional and cross-hierarchical projects
- Sustainable travel: subsidies for the Deutschlandticket as a job ticket
Requirements
- Completed Master’s degree in Biology, Biotechnology, Bioinformatics, Immunology, or a related field
- Strong interest in computational science and AI (prior formal training is not required, but a willingness to learn is essential)
- Experience with immunological methods (flow cytometry, qPCR, functional assays, CRISPR/Cas9 gene editing) is beneficial
- Familiarity with omics and sequencing technologies (e.g., scRNA-seq, spatial transcriptomics, TCR-/BCR-sequencing, ChIP-seq) is advantageous
- Excellent teamwork, communication skills, and creativity
- International candidates are strongly encouraged to apply
Application Documents
- Interested applicants should submit their application, including a CV, motivation letter, and the contact information of two references.
- Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements. Documentation (e.g., vaccination certificate) must be provided before employment begins.
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
February 28, 2026How To Apply
Are you qualified and interested in this opportunity? Kindly go to
University of Hamburg on uke.jobs to apply
Contact:
For more information, kindly visit University of Hamburg scholarship webpage.
