PhD Candidate in Statistical Modelling

With leading research in omics, we can unravel biological mechanisms underlying human diseases. This requires curious and highly motivated individuals who want to push statistical boundaries to develop methods for omics dataset analysis. As a PhD Candidate at the department of Mathematics, you get to explore the fascinating potential of omics research in a welcoming and proactive atmosphere, together with a diverse group of researchers.

The Department of Mathematics at Radboud University is seeking an outstanding and highly motivated PhD candidate to develop statistical methods for omics datasets. Omics research has the potential to unravel biological mechanisms underlying human diseases. Ongoing technological advances deliver diverse omics datasets and their analysis requires novel methods. Developing these methods using multivariate analyses techniques such as functional principal component analysis and partial least squares is the topic of this project.

You will work on a PhD project under the supervision of Prof. Jeanine Houwing-Duistermaat. You will develop new statistical methods, apply them to omics datasets, interpret the results, and implement the method in software packages. The position is funded for four years and has a light teaching load (10%). You will be encouraged to participate in relevant group meetings, conferences, workshops and seminars, and to communicate your findings through publications in peer-reviewed journals. Upon successful completion, you will be awarded a PhD degree from Radboud University. We particularly encourage applications from underrepresented groups.