The Functional Neuroimaging research group is looking for a highly motivated PostDoc to join an ERC-funded project, combining neuroimaging and machine learning to advance our understanding of brain connectivity in neurological disorders with a focus on neuro-oncology and neurodegeneration. In your postdoctoral project you will:

• Lead the development of scalable pipelines for preprocessing and analysis of large-scale neuroimaging datasets (structural and resting-state fMRI).
• Design, implement, and evaluate advanced AI models for functional connectivity–based anomaly detection (e.g., graph-based models, generative approaches).
• Integrate multimodal data (imaging, demographic, technical parameters) into robust machine learning frameworks.
• Guide methodological development, benchmarking, and validation of models using clinical outcome measures.
• Supervise PhD and MSc students and contribute to project coordination within an interdisciplinary team.
• Publish in high-impact journals and present findings at international conferences.

• PhD in computer science, (biomedical) engineering, neuroscience, physics, or a related field.

• Strong expertise in machine learning/deep learning and scientific programming (Python).
• Experience working in Linux environments and high-performance computing (HPC) systems
• Experience with neuroimaging data and tools (e.g., fMRI, BIDS, FSL, FreeSurfer) is highly desirable.
• Experience with large-scale data processing and high-performance computing environments is advantageous.
• Experience working with functional MRI (fMRI) analysis is a plus.
• Strong analytical skills and ability to lead independent research projects.
• Excellent written and spoken English.
• Excellent publication track record.

• A dynamic and interdisciplinary research environment at LMU Klinikum, one of Europe’s leading medical institutions.

• An established and structured research group with a strong publication track record, striving for high-impact publications.
• A collaborative and supportive team culture, including regular group meetings, structured supervision, and one-on-one mentoring.
• Strong research infrastructure, including dedicated support in biostatistics, clinical data science, AI algorithm development, and project management.
• Opportunities for career development, including mentorship, grant writing support, and international networking.
• Flexible and family-friendly working conditions, including options for remote work where appropriate.
• The position is limited to three years.
• Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector.