Post-doc Position in Digital Pathology and Machine Learning

Thursday 30th July 2020

Context:
We are looking for a highly motivated postdoctoral fellow to complement our interdisciplinary team focusing on digital pathology and image analysis for colorectal cancer research. The project is funded by SNSF SINERGIA that aims at an AI driven multi-modal classifier to predict patient outcome and molecular subtypes in colorectal cancer.

Objectives and Responsibilities:
- Development of machine learning algorithms for disease classification, patient stratification and molecular subtyping from histopathology images
- Management of the digital pathology research group
- Involvement in digital pathology workflows for clinical pathology routine
- Scientific publications and presentations at national and international conferences
- Possibility of co-supervising MSc, PhD, or MD students

Your Profile:
- The candidate must hold a PhD degree in computer science, engineering, mathematics, informatics, medicine, biology or closely related field.
- Applicants should have prior experience in medical image processing, machine learning, computational biology, big data techniques and applied statistics.
- Practical knowledge and expertise in Python, Matlab, R, TensorFlow, Scikit-Learn
- Excellent analytical, communication and writing skills.
- Excellent English language skills
- Interest in real-life application of image analysis to diagnostics
- Experience in histopathology image processing is considered as a major advantage.

Our Offer:
A unique research environment at the intersection of medicine and computer science. The post- doctoral fellow will work under the supervision of Prof. Inti Zlobec, Head of the Translational Research Unit and Digital Pathology group. Additionally, the post-doc will benefit from a multidisciplinary team with clinical interests and will have the opportunity to work together with collaborators from IBM Research, ZHAW, ETH Zurich, HESO Sierre/Uni Fribourg and the Institute of Pathology, University Hospital Zurich.

Duration: 2 Years
Starting Date: immediate or upon agreement

Application submission:
Interested applicants should send the curriculum vitae, a detailed motivation letter, names and contact detail of two referees (as 1 PDF document) to bewerbung@pathology.unibe.ch with copy to Prof. Inti Zlobec (inti.zlobec@pathology.unibe.ch).

Organization Institute of Pathology, University of Bern
Location University of Bern, Institute of Pathology, Murtenstrasse 31 CH-3008 Bern, Switzerland
Title Post-doc Position in Digital Pathology and Machine Learning
URL https://www.pathology.unibe.ch/about_us/open_positions/index_eng.html
Email Address inti.zlobec@pathology.unibe.ch