PhD position in Digital Pathology

Who are we looking for

We are looking for a full-time PhD student for a 3-year project funded by the Swiss National Science Foundation focusing on the discovery of novel morphological patterns in tissue images of colorectal cancers and lymph node metastases. This interdisciplinary project lies at the intersection between image analysis (deep learning) and biology (proteomics), with a strong focus on the histomorphology of colorectal cancer.

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
• 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

November 1st, 2025 (negotiable)

Application

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 Cornelia Mileto, University of Bern, Institute of Tissue Medicine and Pathology, Human Resources, Murtenstrasse 31, CH-3008 Bern.

For more information, please visit our website.