Postdoc – AI-Based Motion Monitoring for Gated CBCT-Guided Adaptive Radiotherapy (m/w/d)

IT-Systemhaus der Bundesagentur für Arbeit; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Eine Forschungseinrichtung in München sucht einen Postdoc für ein Projekt zur Entwicklung von KI-Modellen zur markerlosen Verfolgung von Lungentumoren während der Strahlentherapie. Die Position erfordert einen hochrangigen PhD in relevanten Fachrichtungen und exzellente Programmierkenntnisse in Python, vorzugsweise mit Erfahrung in Deep Learning und PyTorch. Der erfolgreiche Kandidat wird in einem dynamischen und internationalen Forschungsteam arbeiten und an der LMU Klinikum Großhadern tätig sein.

Leistungen

Anstellung nach TV-L mit allen üblichen Zulagen

Multidisziplinäres und internationales Forschungsteam

Hochmotivierte Forschungsumgebung

Qualifikationen

• Hochrangiger PhD in Medizinphysik, biomedizinischer Technik oder Informatik erforderlich.
• Gutes Verständnis von medizinischer Bildgebung und Radiotherapie.
• Fließende Englischkenntnisse in Wort und Schrift.

Aufgaben

• Entwicklung moderner KI-Modelle zur markerlosen Tumorverfolgung auf CBCT-Projektionen.
• Untersuchung von Möglichkeiten zur Dosisreduktion mithilfe von KI-basierter Superauflösung.
• Evaluierung der entwickelten Werkzeuge auf externen Daten und Durchführung von Phantomvalidierungen.

Kenntnisse

Programmierung in Python

Deep Learning

Medical Imaging

Teamarbeit

Wissenschaftliche Kreativität

Ausbildung

Doktorat in Medizinphysik, Biomedizinischer Technik oder Informatik

Tools

PyTorch

Jobbeschreibung

Postdoc – AI-Based Motion Monitoring for Gated CBCT-Guided Adaptive Radiotherapy (m/w/d)

Scope of duties

In a multi-institutional research project funded by the German Research Foundation (DFG), a Postdoc position investigating the use of AI models for markerless lung tumor tracking during cone-beam CT (CBCT)-guided radiotherapy is open at the Department of Radiation Oncology of the LMU Munich University Hospital (Prof. Guillaume Landry & PD Christopher Kurz).
The project aims at developing state-of-the-art AI models for real-time, markerless tracking of lung tumors on continuously acquired CBCT projections (360° rotation) during irradiation. Focus will be set on developing patient-specific models that make use of available prior knowledge. The project also foresees validation on external CBCT data from our project partners at the University Hospital Cologne (PD Florian Kamp), as well as experimental validation with dedicated lung phantoms at MAASTRO Clinic.

The candidate is expected to:

· Develop state-of-the-art AI models for markerless lung tumor tracking on CBCT projections
· Investigate options for dose reduction by means of AI-based super-resolution
· Evaluate the developed tools on external data and perform phantom-based validation

Our requirements

• Highly ranked PhD in Medical Physics, Biomedical Engineering, or Computer Science
• Good understanding of medical imaging (CBCT, X-ray) and radiotherapy
• Excellent programming skills in Python
• Experience in deep learning, preferably with PyTorch
• Ability to implement and adapt state-of-the-art deep learning architectures independently
• Fluent English skills (spoken and written)
• Technical proficiency, scientific creativity, and strong teamwork skills

Our offer

• The working place will be at the LMU Klinikum Großhadern.
• 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.
• 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.