Postdoc position in machine learning at Radboud University Nijmegen

A postdoc position is available in the Data Science department of the Institute for Computing and Information Sciences, Radboud University Nijmegen. The group, headed by Prof. Tom Heskes, works on the development and understanding of (probabilistic) machine learning methods, with a keen eye on applications in other scientific domains as well as industry. Through various collaborations with clinicians, we have unique access to challenging real-world patient data, with the opportunity to make a tangible contribution to better patient care. This particular postdoc position is predominantly funded by the TOP ZonMW project Parkinson Precision Medicine, in collaboration with Prof. Bas Bloem (Radboudumc) and Prof. Anne Stiggelbout (Leiden University).
Successful applicants will have a (nearly completed) PhD in computer science, statistics, or a related discipline. A strong background in mathematics and programming (e.g. Python, R, Matlab), and experience with machine learning, pattern analysis, or advanced statistics are essential.
We offer a 2,5 year postdoc position, with competitive pay and excellent benefits, in a very friendly, interactive and international working environment, at the top computer science institute in the Netherlands.
For more information and to apply see
http://www.ru.nl/vacaturebeschrijving?recid=588061