The University of Radboud in the Netherlands invites applications for a PhD Candidate in Statistical Modelling in the 2022/23 academic year.
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.
Worth of Award
- The gross monthly salary amounts to €2,541 per month based on a 38-hour working week, and will increase to €3,247 in the fourth year (salary scale P).
- You will receive 8% holiday allowance and 8.3% end-of-year bonus.
- You will be employed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 2.5 years (4-year contract).
- You hold a Master’s degree in Mathematics, Statistics, Econometrics, or an equivalent degree, or will have completed such a degree before the start date.
- You have a strong background in statistics.
- You have experience in programming, preferably in R.
- You have an interest in medicine and biology.
- You have excellent writing and communication skills.
- Experience in data analysis would be a plus.
How to Apply
- A letter of motivation.
- Your CV including the contact details of at least one academic reference, preferably the supervisor of your Master’s degree project.
- A transcript of records of your Bachelor’s and Master’s studies.
- A copy of your Master’s thesis (if already completed).
The first round of interviews will take place on Monday 29 August.
Deadline: You can apply until August 21, 2022.