PhD Positions in Machine Learning: Three PhD positions in Machine Learning for Medical Imaging are available in Munich, focusing on innovative research that addresses key challenges in medical diagnostics and imaging. Candidates can apply for positions related to trustworthy brain MR imaging, multimodal abdominal imaging, and medical virtual reality.
PhD Positions in Machine Learning for Medical Imaging
Designation
PhD Positions in Machine Learning for Medical Imaging
| Position Title | Start Date | Application Email |
|---|---|---|
| Trustworthy Brain MR Imaging (IQ-BRAIN consortium) | By 09/2025 | iml-office@helmholtz-munich.de |
| Multimodal Abdominal Imaging | From 07/2025 | compai-lab@tum.de |
| Medical Virtual Reality (Postdoc or PhD) | Anytime | iml-office@helmholtz-munich.de or Job Portal |
Research Area
- Trustworthy Brain MR Imaging
- Multimodal Abdominal Imaging
- Medical Virtual Reality
Location
Munich, Germany
Eligibility/Qualification
- Background in Computer Science (preferred), Biomedical Engineering, Electrical Engineering, Information Engineering, Applied Mathematics, or Medical Physics.
- Knowledge of Machine/Deep Learning and Medical Image Processing.
- Applicants for the Trustworthy Brain MR Imaging position must not be residents in Germany already.
Description
The PhD candidates will work in a collaborative and dynamic research environment across two sites: Helmholtz Munich and the Technical University of Munich (TU Munich). The positions aim to develop advanced machine learning techniques to enhance medical imaging for improved diagnostics. Candidates are expected to be innovative, engaging, and have a passion for interdisciplinary work.
How to Apply
Interested candidates should send their applications to the designated email addresses listed in the table above. Applicants must include a CV, motivation letter, and any relevant work samples or publications.
Last Date to Apply
- Trustworthy Brain MR Imaging: By 09/2025
- Multimodal Abdominal Imaging: From 07/2025
- Medical Virtual Reality: Open Until Filled
This is an exciting opportunity for aspiring researchers in the field of machine learning and medical imaging to contribute to impactful projects and advance their academic and professional careers.
