PhD Position in Needle Insertion: A DFG-funded PhD position is available in the research group of Prof. Marco Riboldi at the Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München (LMU). The project focuses on developing image-guided protocols for brachytherapy, utilizing infrared navigation and AI for accurate needle tracking, in partnership with LMU Munich and the Universitätsklinikum Erlangen.
PhD Position in Image-Guided Brachytherapy with Real-Time Navigated Needle Insertion
Designation
PhD Candidate (75% TV-L E13, 36 months)
Table: Key Details
| Field | Details |
|---|---|
| Project Title | Image-guided brachytherapy with real-time navigated needle insertion |
| Funding Source | Deutsche Forschungsgemeinschaft (DFG) |
| Duration / Salary | 36 months / 75% TV-L E13 |
| Supervisor | Prof. Dr. Marco Riboldi |
| Application Deadline | 30/09/2025 |
| Contact | marco.riboldi@physik.uni-muenchen.de |
Research Area
- Medical Physics
- Brachytherapy
- Image-Guided Surgery
- AI in Medical Imaging
- X-ray/CBCT Imaging
- Needle Tracking
- Radiation Oncology
Location
- Forschungszentrum Garching, LMU Munich, Germany
- Collaborating with LMU University Hospital (LMU-K) and Universitätsklinikum Erlangen (UKER)
Eligibility/Qualification
- MSc in Physics (Medical Physics experience preferred)
- Strong academic record
- Background in medical imaging and/or image processing
- Fluent English (spoken and written), documented by qualifications (e.g., IELTS, TOEFL)
- Basic programming skills (Python, MATLAB, or C++)
- Technical proficiency, scientific creativity, teamwork, and experimental skills
Description
The project aims to develop protocols for image-guided brachytherapy, integrating real-time navigated needle insertion using infrared and AI-based technologies. Candidates will work on AI-based needle tracking and 2D-3D image registration, designing optimal imaging protocols for interventional radiation therapy. The position offers opportunities for algorithm development, data collection, and validation in a multidisciplinary, international team. Women and disabled candidates are encouraged to apply. The academic supervisor is Prof. Marco Riboldi.
How to Apply
Send an electronic application (including curriculum vitae, motivational letter, transcript of records, and contact information or letters from two references) by 30/09/2025 to:
Prof. Dr. Marco Riboldi
marco.riboldi@physik.uni-muenchen.de
Last Date for Apply
September 30, 2025Note: All information above is strictly based on the attached document. If you need a formatted web post or have additional requirements, let me know!
