This position explores synergies between modern deep learning-based AI and classical mathematical formulations across scientific disciplines. It is part of Zee-Zoom-Zap, a new visionary ERC Synergy project aiming at the development of a novel paradigm for cancer theranostics (integrated diagnosis and treatment).

We are seeking a bright, proactive postdoctoral researcher to join the Zee-Zoom-Zap project team, taking a leading role in the exploration of novel physics-informed formulations for deep learning. With a focus on core methodological machine learning research, the work will also include applied research towards physics-informed imaging, image processing, device design, and therapy guidance.

Tasks: Creation, development and evaluation of deep learning algorithms for medical image analysis, for their use in diagnosis, planning, simulation and guidance of surgical interventions. Project management and supervision of research teams.

GENERAL REQUIREMENTS
- Hold a PhD degree.




- Not have been dismissed through disciplinary proceedings from the service of any public administration, nor be disqualified by a final judgment from exercising public functions. In the case of being a national of another country, not be disqualified or in an equivalent situation, nor have been subjected to a disciplinary sanction or equivalent that prevents, in their country, access to public employment under the same terms.

SPECIFIC REQUIREMENTS
- Experience in the design and development of medical image analysis algorithms using advanced deep learning techniques. Evidence of this experience through publications in scientific journals and conferences.
- Development of medical image analysis platforms and systems in real industrial and clinical environments. Advanced level experience in the use of software technologies, platforms, and libraries.

These participation requirements must be met on the last day of the application deadline, must be verifiably accredited at any time during the

📌 Postdoctoral position – Physics-informed deep learning for cancer imaging, diagnosis and treatment (Barcelona)
🏢 Pompeu Fabra University
📍 Barcelona