PhD student in Statistics

Research / Academic

The candidate will develop statistical state-space models within the Bayesian framework to analyse multivariate intensive longitudinal data. Intensive longitudinal data become very common nowadays. They are produced for example by electronic devices such as activity trackers. Statistical methods still lag behind these technological innovations. In particular, this research project aims at developing new statistical models to study 1) the dynamic evolution of several variables with intensive measurements measured at the same time with emphasis on the dynamic evolution of the correlation between these variables (e.g. heart rate and activity intensity) and 2) the reliability and validity of devices producing intensive longitudinal data when used in real conditions. The development of these new models involves mathematical derivations to approximate the posterior distribution of the model parameters, simulating data to study the model properties and developing a software package to fit the models. The explosion of intensive longitudinal data in many research fields such as medicine and psychology promises a great future for the developed methods.


  • Graduated with a MSc in Statistics, Psychometrics, Biometrics, Econometrics
  • Good mathematical and computer programming skills
  • Good writing and expressional skills in the English language

Salary Benefits:

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website > Support > UM employees.

We offer a full-time position (38 hours/week) with the Maastricht University at the Department Methodology of the Faculty of Health, Medicine and Life Sciences, School CAPHRI  

Salary: The gross salary will start at €2325 in the first year and can go up to €2972 in the 4th year

Work Hours:

38 hours per week


Universiteitssingel 40