Postdoc in Multimodal AI for Whole-Body PET/CT Imaging

Kanton Bern; Bern; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Meaningful work

Strong research infrastructure

Interdisciplinary collaboration

Access to cutting-edge technology

Zusammenfassung

Kanton Bern seeks a PhD-level researcher to advance multimodal AI for whole-body PET/CT, integrating imaging with clinical context to distinguish residual malignancy from inflammation. You will lead methods development, validation across centres, and aim for high-impact publications.

We value strong Python/PyTorch skills, 3D imaging experience, and the ability to frame research questions and communicate across disciplines. Hybrid collaboration and cutting-edge resources are offered.

Qualifikationen

• PhD in computer science, ML, biomedical engineering or related field.
• Strong deep-learning research on medical imaging with 3D/volumetric experience.
• Excellent Python and PyTorch skills with scalable pipelines.

Aufgaben

• Shape research questions and develop multimodal methods combining PET/CT with clinical text, followed by longitudinal imaging and digitised histology.
• Develop context-aware image analysis and segmentation, multimodal representation learning and outcome prediction; explore physician-editable report generation.
• Lead projects from model design through multicentre clinical validation.
• Aim to publish in leading international journals and present at ML and medical-imaging conferences.
• Contribute to follow-on grant applications and interdisciplinary collaboration.

Kenntnisse

Deep learning research

Python

PyTorch

Cross-disciplinary communication

Ausbildung

PhD in computer science / ML / biomedical engineering or related field

Tools

Python

PyTorch

Jobbeschreibung

Kanton Bern seeks a PhD-level researcher to advance multimodal AI for whole-body PET/CT, integrating imaging with clinical context to distinguish residual malignancy from inflammation. You will lead methods development, validation across centres, and aim for high-impact publications.

We value strong Python/PyTorch skills, 3D imaging experience, and the ability to frame research questions and communicate across disciplines. Hybrid collaboration and cutting-edge resources are offered.