Postdoctoral Researcher - Multimodal AI for Whole-Body PET/CT — Universität Bern

CHF 85'000 - 119'000
Universität Bern · Bern (BE)
Categoria: Sanità / Ospedali Contratto: full-time Salario: CHF 85'000 - 119'000
Apply now
Location
Bern
Contract
full-time
Posted
9 days ago
SalaryCHF 85'000 - 119'000

Role overview

UniBE is interconnected.

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
Apply now

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?

Use the "Apply now" button on this page — it links directly to Universität Bern's original listing at jobs.unibe.ch, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.

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Universität Bern · Bern
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