Postdoctoral candidate (f/m/x) in deep learning for study of kidney image data in Köln

• Development of computational methods and processing pipelines dedicated to the project
• Application of existing and development of new analytical and ML solutions
• Data visualization and communication
• Work in close collaboration with our medical and experimental collaboration partners

• Degree in computer science, physics, bioinformatics, or a related field
• Good knowledge of programming (python)
• Experience with computation on cluster architectures
• Experience with machine learning
• Great communication skills, capacity of working in a team and in an interdisciplinary environment

Applications should include CV, cover letter, and contact to 2 references.

• Opportunity to apply and develop cutting-edge machine learning and computational technologies to resolve timely medical and scientific problems
• Collaborative, and international multi-disciplinary working environment where colloquial and working language is English
• Development and networking through participation in workshop and conferences both ML and biology/medicine

Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 59 clinics and institutes as well as numerous other departments and facilities and more than 10,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.

Research overview:

Our group is working on data-intensive problems in biomedicine by combining machine learning, statistical and other computational methods. Image data and deep learning solutions are a major part of our research. All projects involve collaboration with experimental and medical partners located in Cologne, Charité University Hospital Berlin and abroad.

We are currently looking for one postdoctoral candidate for our collaborative project on chronic kidney disease. The tasks will involve devising computational methods for automating nephropathology procedures using deep learning as well as quantification of information in kidney microscopy images. We are strongly interested in development of self-supervised learning methods for this project. Our collaboration partners include medical as well as microscopy experts located in Cologne and Freiburg. We offer work in a stimulating, interdisciplinary environment in the heart of cosmopolitan, historical city.

Please visit our  to learn more about the group’s interests and ongoing research.