PhD/Postdoctoral Researcher Position in Multimodal Medical Image Analysis for Musculos (Technical University of Munich)

PhD or Postdoctoral Researcher Position in Multimodal Medical Image Analysis for Musculoskeletal Medicine 07.09.2025, Wissenschaftliches Personal PhD or Postdoctoral Researcher Position in Multimodal Medical Image Analysis for Musculoskeletal Medicine This position is hosted within the AI in Orthopaedics group, affiliated with the Department of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine, both at TUM and the TUM University Hospital (Klinikum rechts der Isar). We develop and translate advanced machine learning for 3D/multimodal medical imaging in musculoskeletal medicine. Responsibilities Develop and apply advanced AI methods for multimodal and 3D medical image analysis (Xray, MRI, CT). Integrate robotic data, biomechanical measurements, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking imaging with clinical text and decision support. Evaluate algorithms regarding robustness, explainability, and clinical impact in musculoskeletal medicine. Collaborate in an interdisciplinary team of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field PostDoc track: PhD in a relevant discipline with a record in medical image analysis / ML Strong programming skills (e.g., Python, PyTorch/TensorFlow; image processing frameworks) Background in deep learning / computer vision / biomedical image computing Excellent English; German is an advantage for clinical collaboration We offer Highly interdisciplinary, translational research environment (clinic & AI) Modern work environment with state-of-the-art facilities and infrastructure Access to unique clinical datasets and high-performance computing Flexible working hours (19.25–38.5 h/week), 30 days of vacation, childcare support Salary per TV-L plus public-sector benefits Central Munich location with excellent public transport (subsidized job tickets) Application Please send your CV and a brief track record (e.g., publications, projects, software) to florian.hinterwimmer@tum.de. Severely disabled applicants will be given preferential consideration if equally qualified. Application costs cannot be reimbursed. Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt. Hinweis zum Datenschutz: Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben. Kontakt: florian.hinterwimmer@tum.de If you apply for this position please say you saw it on Medicinoxy

PhD or Postdoctoral Researcher Position in Multimodal Medical Image Analysis for Musculoskeletal Medicine

07.09.2025, Wissenschaftliches Personal

PhD or Postdoctoral Researcher Position in Multimodal Medical Image Analysis for Musculoskeletal Medicine

This position is hosted within the AI in Orthopaedics group, affiliated with the Department of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine, both at TUM and the TUM University Hospital (Klinikum rechts der Isar). We develop and translate advanced machine learning for 3D/multimodal medical imaging in musculoskeletal medicine.

Responsibilities

Develop and apply advanced AI methods for multimodal and 3D medical image analysis (Xray, MRI, CT).
Integrate robotic data, biomechanical measurements, and clinical information with imaging data.
Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation).
Investigate and apply Vision-Language models for linking imaging with clinical text and decision support.
Evaluate algorithms regarding robustness, explainability, and clinical impact in musculoskeletal medicine.
Collaborate in an interdisciplinary team of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations.

Profile

PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or related field
PostDoc track: PhD in a relevant discipline with a record in medical image analysis / ML
Strong programming skills (e.g., Python, PyTorch/TensorFlow; image processing frameworks)
Background in deep learning / computer vision / biomedical image computing
Excellent English; German is an advantage for clinical collaboration

We offer

Highly interdisciplinary, translational research environment (clinic & AI)
Modern work environment with state-of-the-art facilities and infrastructure
Access to unique clinical datasets and high-performance computing
Flexible working hours (19.25–38.5 h/week), 30 days of vacation, childcare support
Salary per TV-L plus public-sector benefits
Central Munich location with excellent public transport (subsidized job tickets)

Application

Please send your CV and a brief track record (e.g., publications, projects, software) to florian.hinterwimmer@tum.de.

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

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Hinweis zum Datenschutz:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

Kontakt: florian.hinterwimmer@tum.de

If you apply for this position please say you saw it on Medicinoxy

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