PhD position in Digital Pathology 100%

Universität Bern

Infos sur l'emploi

Date de publication :09 juillet 2025
Taux d'activité :100%
Lieu de travail :Bern

Résumé de l'emploi

Le groupe de recherche Odyssey à l'Université de Berne propose un poste de doctorat en pathologie numérique. Une opportunité passionnante de contribuer à la recherche sur le cancer colorectal.

Tâches

Analyse des images de tissus pour identifier des motifs morphologiques.
Utilisation de l'intelligence artificielle pour étudier l'environnement tumoral.
Contribuer à des projets interdisciplinaires en biologie et informatique.

Compétences

MSc en informatique, imagerie médicale ou sciences biomédicales requis.
Compétences en programmation Python et R essentielles.
Intérêt pour l'histologie et la biologie du cancer souhaité.

Est-ce utile ?

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 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

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 .

PhD position in Digital Pathology 100%

Infos sur l'emploi

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