Postdoc – Artificial Intelligence and Robust Optimization in Radiotherapy (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit; München; Vor Ort; EUR 50.000 - 66.000; Vollzeit

Zusammenfassung

Eine führende Universität in Deutschland sucht einen Postdoc für die Erforschung von KI-Modellen in der Radiotherapie. Der erfolgreiche Kandidat wird Teil eines hochmotivierten Forschungsteams an der LMU München, wo er KI-Modelle entwickeln und evaluieren wird. Der Fokus liegt auf Unsicherheitsabschätzung und robuster Behandlungsplanung in der adaptiven Radiotherapie. Erforderlich sind ein hochrangiger Doktortitel, exzellente Programmierkenntnisse in Python und Erfahrung in Deep Learning. Das Stellenangebot umfasst eine Vergütung nach dem öffentlichen Dienstvertrag für 36 Monate.

Qualifikationen

• Hochrangiger Doktortitel in relevanten Bereichen erforderlich.
• Gute Kenntnisse über adaptive Radiotherapie-Workflows.
• Erfahrung in der Implementierung und Anpassung von Deep-Learning-Architekturen.

Aufgaben

• Entwicklung von KI-Modellen zur Segmentierung von Organen und Tumoren.
• Anwendung KI-basierter Modelle zur deformierbaren Bildregistrierung.
• Bewertung robuster Planungsansätze in nah-clinischen Szenarien.

Kenntnisse

Python-Programmierung

Deep Learning (vorzugsweise mit PyTorch)

Teamarbeit

Organisationstalent

Technische Kompetenz

Wissenschaftliche Kreativität

Fließende Englischkenntnisse

Ausbildung

Doktortitel in Medizinischer Physik, Biomedizinischer Technik oder Informatik

Jobbeschreibung

Postdoc – Artificial Intelligence and Robust Optimization in Radiotherapy (m/w/d)

In a multi‑institutional research project funded by the German Federal Ministry of Research, Technology and Space, a Postdoc position investigating the use of uncertainty‑aware AI models for auto‑segmentation and dose accumulation in radiotherapy treatment planning is open at the Department of Radiation Oncology of the LMU Munich University Hospital (PD Christopher Kurz & Prof. Guillaume Landry) from February 2026. The candidate will collaborate with our project partners at the Fraunhofer Institute for Industrial Mathematics (ITWM) Kaiserslautern (Prof. Karl‑Heinz Küfer) and the LMU Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence (Prof. Gitta Kutyniok). The project will employ state‑of‑the‑art AI models for auto‑segmentation and deformable image registration in the scope of MRI‑guided adaptive radiotherapy. Focus will be set on uncertainty estimation by these models and their integration into robust radiotherapy treatment planning.

Responsibilities

• Develop AI models for organ‑at‑risk and tumor segmentation including estimation of their epistemic and aleatoric uncertainties.
• Apply AI‑based deformable image registration models for uncertainty‑aware dose accumulation.
• Evaluate robust treatment planning approaches in close‑to‑clinic scenarios.

Qualifications

• Highly ranked PhD in Medical Physics, Biomedical Engineering or Computer Science.
• Good understanding of adaptive radiotherapy workflows and treatment planning.
• Excellent programming skills in Python.
• Experience in deep learning, preferably with PyTorch.
• Ability to independently implement and adapt deep learning architectures.
• Fluent English skills (spoken and written).
• Technical proficiency, scientific creativity, as well as strong teamwork and organizational skills.

Application details

To apply for the position, please send your electronic application (letter of motivation, curriculum vitae, last school certificate and university degrees, PhD certificate, publication list, other qualification certificates such as TOEFL, and the contact information of two references), preferably in PDF format.

Offer

• The working place will be at the LMU Klinikum Großhadern.
• The successful candidate will work in a highly motivated and well‑established research group (2 senior researchers, 2 postdocs, 10 PhD students, and MSc students) within a multidisciplinary and international network embedded in a stimulating scientific environment at LMU Munich, with a long tradition of collaboration and excellence in biomedical research and with outstanding research and clinical infrastructures.
• Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV‑L) including all allowances customary in the public sector. The Postdoc position is available for 36 months.