Postdoctoral Fellow / Postdoctoral Fellowess

Universität Bern - June 10, 2026

UniBE is Ambitious

At the University of Bern, we strive for excellence. Join us to showcase your talents and challenge yourself among the best in the field.

Start Date

Date: 01.09.2026 or by arrangement

Employment Relationship

This is a fixed-term position.

Institution / Workplace

ARTORG Center for Biomedical Engineering Research

About Us

The University of Bern is situated in the heart of Switzerland. We foster international connections while being deeply rooted in our local community, facilitating collaborations between society, science, medicine, business, and politics. Our commitment is to ethically engage with individuals and nature, addressing pressing societal issues through innovative research.

ARTORG, the University of Bern's transdisciplinary Center of Excellence, focuses on medical technology research. We address unmet clinical needs in diagnosis, monitoring, treatment, and rehabilitation through cutting-edge healthcare technology. Positioned uniquely as an engineering department within the medical faculty, ARTORG has spent over a decade advancing biomedical engineering research, education, and development across diverse clinical domains. Our master’s and PhD students thrive in a clinical environment, directly translating their academic experiences into healthcare solutions.

The Position

The Artificial Intelligence in Health and Nutrition (AIHN) laboratory at the ARTORG Center is seeking a highly motivated and talented Postdoctoral Researcher to join our dynamic interdisciplinary team. We welcome candidates with a robust background in Artificial Intelligence (AI), Machine Learning (ML), and Data Science, particularly in at least two of the following areas: causal machine learning, reinforcement learning, and generative AI, including multimodal foundation models.

Qualifications

We are looking for candidates with the following skills and experience:

  • PhD degree in Computer Science, AI/ML, Data Science, Biomedical Engineering, Electrical Engineering, Applied Mathematics, or related fields obtained within the last two years from a recognized university.
  • Strong publication record in leading AI/ML, computer vision, medical imaging, or biomedical informatics journals and conferences.
  • Demonstrated expertise in modern AI methodologies.
  • Profound understanding of multimodal learning, foundation models, causal machine learning, reinforcement learning, and/or Generative AI.
  • Excellent programming skills in Python and proficiency with modern deep learning frameworks.
  • Exceptional oral and written communication skills in English.

Additional Qualifications

The following qualifications would be considered an advantage:

  • Expertise with medical images.
  • Experience with large-scale datasets and distributed training.

The successful candidate will have the opportunity to work in a highly collaborative and international research environment, contributing to pioneering national and European research projects at the forefront of AI for health and biomedical discovery.

General Information about the Position

This position is initially funded for a period of 2 years, with the potential for extension up to 4 years. Salary will adhere to Swiss University regulations, with an expected start date in September 2026. Only applications matching the job profile will be considered.

Your Benefits

  • Strong research infrastructure and international network
  • International reputation
  • Collaborative environment and ambitious team
  • Individual career support

Working at the University of Bern

The University of Bern offers not only exciting challenges but also an environment that promotes development, diversity, and equal opportunities. Discover what distinguishes us as an employer and how you can grow with us.

Application and Contact

Apply online using the form below.

Questions about the Position?

Please see 'Application and Contact'.

Questions about the Application?

Please see 'Application and Contact'.

Location : Bern
Country : Switzerland

Application Form

Please enter your information in the following form and attach your resume (CV)

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