Summary
Join the innovative ERC Synergy project Zee-Zoom-Zap at Universitat Pompeu Fabra, Barcelona, focusing on the integration of deep learning with classical mathematical formulations for advancing cancer theranostics (integrated diagnosis and treatment).
Postdoctoral Position – Physics-Informed Deep Learning for Cancer Imaging, Diagnosis, and Treatment, Spain
Designation
Postdoctoral Researcher
Job Details
| Category | Details |
|---|---|
| Research Area | Physics-Informed Deep Learning |
| Location | Barcelona, Spain |
| Eligibility/Qualification | PhD in engineering, computing, physics, mathematics, or related disciplines |
| Job Type | Open-ended Senior Position |
| Salary | Competitive, aligned with UPF scales |
Job Description
The position involves leading the exploration of novel physics-informed deep learning formulations, focusing on both core methodological machine learning research and applied research in areas such as:
- Physics-informed imaging
- Image processing
- Device design
- Therapy guidance
The research will be conducted within the BCN Medtech unit, which specializes in biomedical engineering, medical image analysis, and computer-assisted surgical planning, simulation, and navigation. The supervising principal investigator is ICREA Professor Miguel Angel Gonzalez Ballester.
How to Apply
To apply, please send your CV and any relevant documents to: ma.gonzalez@upf.edu
Last Date to Apply
Applications will be accepted until 30 June 2026. However, please note that applications will be considered on a rolling basis, and the position may be closed before this date.
Take this opportunity to contribute to groundbreaking research in healthcare technology!
