Summary
The Department of Engineering at Universitat Pompeu Fabra is inviting applications for a Postdoctoral Researcher position under the prestigious ERC Synergy project Zee-Zoom-Zap (2026–2032). The project focuses on developing innovative AI-driven cancer theranostics by combining modern deep learning approaches with classical mathematical and physics-based formulations.
Postdoctoral Position – Physics-informed Deep Learning for Cancer Imaging, Diagnosis and Treatment (ERC Synergy Project Zee-Zoom-Zap)
The selected candidate will contribute to cutting-edge research in physics-informed deep learning, medical imaging, computational simulation, and therapy guidance within the BCN Medtech research unit.
Summary Table
| Particulars | Details |
|---|---|
| Position Title | Postdoctoral Researcher – Physics-informed Deep Learning for Cancer Imaging |
| Project Name | ERC Synergy Project Zee-Zoom-Zap |
| Organization | Universitat Pompeu Fabra |
| Department | Department of Engineering |
| Research Unit | BCN Medtech |
| Location | Barcelona |
| Research Area | Physics-informed AI, Deep Learning, Medical Imaging, Cancer Theranostics |
| Eligibility | PhD in Engineering, Computing, Physics, Mathematics, or related disciplines |
| Salary | Competitive salary as per UPF regulated scales |
| Job Type | Open-ended Senior Postdoctoral Position |
| Working Language | English |
| Application Deadline | 30 June 2026 |
| Application Mode | Email Application |
Designation
Postdoctoral Researcher – Physics-informed Deep Learning for Cancer Imaging, Diagnosis and Treatment
Research Area
- Physics-informed Deep Learning
- Neural Operators
- Medical Image Analysis
- Computational Simulation for Healthcare
- Cancer Imaging and Theranostics
- Biomedical Engineering
- Therapy Guidance and Device Design
- AI for Healthcare Applications
Location
The position is based at the Department of Engineering, Universitat Pompeu Fabra in Barcelona.
The research will be conducted within the BCN Medtech research unit under the supervision of Miguel Angel Gonzalez Ballester.
Eligibility / Qualification
Applicants must fulfill the following criteria:
- PhD degree in:
- Engineering
- Computing
- Physics
- Mathematics
- Related disciplines
Preferred Skills and Experience
- Experience in image processing and computational simulation for healthcare
- Knowledge of physics-informed deep learning
- Expertise in neural operators will be highly valued
- Strong research and analytical skills
- Proficiency in English communication
Job Description
The selected postdoctoral researcher will:
- Explore novel physics-informed formulations for deep learning
- Conduct methodological machine learning research
- Work on applied AI solutions for:
- Medical imaging
- Image processing
- Therapy guidance
- Device design
- Contribute to the development of innovative cancer theranostics solutions
- Collaborate with interdisciplinary researchers within the Zee-Zoom-Zap project team
The project aims to bridge modern AI techniques with mathematical and physical models to revolutionize cancer diagnosis and treatment methodologies.
How to Apply
Interested candidates should send the following documents via email:
- Updated CV
- Relevant supporting documents
Application Email
Applications will be reviewed on a rolling basis, and the position may close before the final deadline.
Last Date to Apply
30 June 2026
