Postdoctoral Researcher - Multimodal AI for Whole-Body PET/CT — Universität Bern
- Location
- Bern
- Contract
- full-time
- Posted
- 9 days ago
Role overview
UniBE is interconnected.
- UniBE is interconnected.
- Your responsibilities
- Shape research questions and develop multimodal methods combining PET/CT with clinical text, followed by longitudinal imaging and digitised histology.
- PhD in computer science, machine learning, biomedical engineering or a related field.
- Strong deep-learning research on images; 3D/volumetric experience highly desirable.
- With us, you're part of an international community and benefit from interdisciplinary collaboration.
Main responsibilities
- Your responsibilities
- 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 machine-learning and medical-imaging conferences. Your responsibilities
Key requirements
- PhD in computer science, machine learning, biomedical engineering or a related field.
- Strong deep-learning research on images; 3D/volumetric experience highly desirable.
- Excellent Python/PyTorch skills; reproducible pipelines at scale.
- Substantial methodological ownership and strong first-author publications.
- Ability to frame research questions, design baselines/ablations, identify leakage and shortcut learning, and communicate across disciplines.
- Particularly valuable: multimodal/vision-language learning, self-supervised pretraining or medical foundation models, longitudinal imaging, clinical NLP/report generation, computational pathology/whole-slide imaging, and distributed training.
- Prior PET/CT experience is not required; we provide clinical, biological and imaging expertise. Meaningful work and fair compensation More Information Job-Abo
What the company offers
- With us, you're part of an international community and benefit from interdisciplinary collaboration.
Application process
- Contribute to follow-on grant applications and interdisciplinary collaboration. Application and Contact Your Benefits
- Strong research infrastructure and international network Interdisciplinary collaboration
- Access to cutting-edge technology and innovation Other benefits Working at the University of Bern
- The University of Bern not only offers exciting tasks but also an environment that actively promotes development, diversity, and equal opportunities.
- Discover what makes us stand out as an employer and how you can grow with us. Career page Open positions
Contacts
- Interested candidates are requested to send a one-page note identifying the research question you would most want to pursue here and how you would test it, a CV with publications, expected starting date, as well as contact information for two references or their reference letters, in one PDF file to [email protected].
- With us, you create value.
- For yourself and for society. The project
- With university affiliation through the DBMR, we develop multimodal AI for whole-body PET/CT, integrating imaging with clinical context to distinguish residual malignancy from inflammation or physiological uptake.
- The focus is lymphoma response assessment, with methods designed to transfer across tasks, diseases and institutions.
- You will work with over 14,000 available PET/CT examinations from Bern (>30 TB), linked reports, referrals and longitudinal studies, multicentre trial cohorts, and digitised histology in selected patients.
Additional details
- Aim to publish in leading international journals and present at machine-learning and medical-imaging conferences.
- Contribute to follow-on grant applications and interdisciplinary collaboration.
- Prior PET/CT experience is not required; we provide clinical, biological and imaging expertise. Meaningful work and fair compensation Application and Contact
- For yourself and for society. Application Process
- Strong research infrastructure and international network Interdisciplinary collaboration
- Access to cutting-edge technology and innovation Working at the University of Bern
- Discover what makes us stand out as an employer and how you can grow with us.
Notes and original content
- Your profile
- Prior PET/CT experience is not required; we provide clinical, biological and imaging expertise.
- Meaningful work and fair compensation
- Application and Contact
- For yourself and for society.
- The project
- More Information
- Application Process
- Your Benefits
- Strong research infrastructure and international network
Questions about this listing
What salary does Universität Bern offer for this role?
Universität Bern lists CHF 85'000 - 119'000 gross per year for this position in Bern. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Universität Bern offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Universität Bern during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Bern?
EU/EFTA residents living in the border zone of the country adjoining Canton Bern can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Bern's cantonal migration office or with HR during the application.
How do I apply for this position at Universität Bern?
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