<h2>Scientific Researcher (PhD or Postdoctoral) in Medical Imaging for Musculoskeletal Medicine</h2>

22.09.2025, Wissenschaftliches Personal

The AIO group is part of the Department of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods that directly benefit patient care.

Responsibilities

• Conduct research in medical image analysis with focus on musculoskeletal medicine.
• Collaborate closely with clinicians to ensure clinical relevance and translational impact.
• Take on scientific leadership within the imaging research area, supporting strategic development with the group leader and chair.
• Contribute to research proposals and funding applications.
• Publish and present findings in international journals and conferences.
• Supervise and mentor junior researchers and students.

Profile

• PhD in Computer Science, Biomedical Engineering, Data Science, or a related discipline.
• Strong expertise in medical imaging and/or machine learning.
• Excellent programming and research skills.
• Interest in translational research and interdisciplinary collaboration with clinicians.
• Experience with project coordination, supervision, or grant writing is a plus.
• Excellent English and German.

We offer

• A highly interdisciplinary environment combining clinic and AI research.
• Access to state-of-the-art infrastructure and unique clinical datasets.
• Opportunities to develop an independent research profile and take on leadership responsibilities.
• Flexible working hours, 30 days of vacation, childcare support.
• Salary according to TV-L plus attractive public-sector benefits.
• Central Munich location with excellent public transport connections and subsidized job tickets.

Application

Please send your CV and a brief track record (publications, projects, software, funding experience if applicable) to florian.hinterwimmer@tum.de.

We appreciate your interest in the Technical University of Munich and your application for this position. By submitting your application, you provide us with personal data. Please note our data protection information according to Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data in the context of your application.

Severely disabled applicants will be given preferential consideration if equally qualified. Application costs cannot be reimbursed.

Kontakt: florian.hinterwimmer@tum.de.