PhD position in Digital Pathology 100%

Key information

  • Publication date:09 July 2025
  • Workload:100%
  • Place of work:Bern

Job summary

Join the Odyssey Digital Pathology Research Group at the University of Bern! This PhD position offers a chance to explore advanced techniques in Digital Pathology.

Tasks

  • Conduct research on 3D light sheet microscopy in cancer tissues.
  • Apply deep learning for image analysis and biological insights.
  • Collaborate with a multidisciplinary team of experts in pathology.

Skills

  • MSc in relevant fields; programming in Python and R required.
  • Interest in histology and cancer biology is essential.
  • Excellent communication skills in English are needed.

Is this helpful?

The Odyssey Digital Pathology Research Group at the Institute of Tissue Medicine and Pathology at the University of Bern, Switzerland is announcing a 100% PhD position in Digital Pathology.
Who are we?

The Odyssey Digital Pathology Research Group at the University of Bern (Group Prof. I. Zlobec) takes a deep dive into the morphomolecular aspects and spatial biology of colorectal cancer using various computational, bioinformatics and tissue visualization techniques to gain insights into colorectal cancer biology, metastatic dissemination as well as to identify new predictive and prognostic (spatial) biomarkers. We use digital pathology and artificial intelligence (AI) to investigate the multi-faceted phenomenon of "tumor budding" and the tumor microenvironment. Our group is enriched by the multi-disciplinary background of our students, our numerous industry partners as well as national and international academic collaborators spanning the areas of pathology, immunology, oncology, machine learning and computer vision. For more information, please visit our website here: www.digitalpathologybern.com .



Who are we looking for

We are looking for a full-time PhD student for a 3-year EU HORIZON EIC funded project dealing with advanced 3D light sheet microscopy. The project aims to study and correlate morphological patterns of multicancerous tissues in 2D and 3D representations. This research is at the forefront of image analysis by combining state-of-the-art deep learning techniques with biological insights from multidimensional data.

Your profile

• MSc or equivalent in computer science, medical imaging, engineering; or MSc in biomedical sciences or MD degree with experience in medical image analysis, computer vision.
• Interest in histology, cancer biology / biological mechanisms
• Programming skills in Python and R
• Knowledge in Pytorch or Tensorflow
• Familiarity with 3D imaging and analysis techniques
• Ability to solve problems by taking own initiative and working independently
• Passion for science and interest in contributing to discoveries in medicine & pathology
• Eager to be part of a group and contribute positively to team dynamic
• Previous experience in digital pathology or histology is an asset
• Background or experience in biostatistics/bioinformatics is an asset
• Excellent communication skills (written and spoken) in English; German is an asset
• Willing to help supervise future Master students and contribute to lectures or workshops

Start


Please send your application before 31.07.2025 including a short letter of interest outlining reasons for the application to our group, curriculum vitae including names of 2 references, a list of publications, and copies of the certificates of academic qualifications as a single pdf-file by Email to E-Mail schreiben, University of Bern, Institute of Tissue Medicine and Pathology, Human Resources, Murtenstrasse 31, CH-3008 Bern.


For more information, please visit our website .


Categories:

Pharmaceuticals / Biotechnology / Chemistry, Research & Development / Laboratory

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