In this project you will be developing and testing novel transfer learning and multi-modal machine learning algorithms for improved diagnosis of breast cancer using mammography image data of different sources.
The Data Science group’s research concerns the design and understanding of (probabilistic) machine learning methods, with a keen eye on applications in other scientific domains as well as industry. The Data Science section is part of the vibrant and rapidly expanding Institute for Computing and Information Sciences (iCIS). iCIS is consistently ranked as the top Computer Science department in the Netherlands (National Research Review of Computer Science 2002-2008 and 2009-2014).
You have a PhD in computer science, mathematics, or a related discipline. You are open-minded, with a strong interest in multidisciplinary research and a solid background in mathematics, and you are highly motivated to perform scientific research. As you will be working in a multidisciplinary environment, you need to be flexible, communicative and able to work in a multidisciplinary team.