The experience of stress is an inherent aspect of daily life. However, can we validly measure this, and how and under what circumstances does it contribute to disease? We at the Department of Biostatistics at the Erasmus University Medical Center Rotterdam are looking for a Ph.D. student to work with us on the ambitious Stress in Action project (more details about the project can be found
here).
The NWO gravitation project Stress in Action capitalizes on fast technological advances and big data analytics to move stress research from the lab to daily life. You will be part of the data analytic support core (DASC) team. The DASC will develop a variety of big data analytics approaches. Specific analytical questions for DASC include: (1) How can we derive counterfactual predictions of stress outcomes with multiple time-varying stress exposures? (2) How can we assess the accuracy of counterfactual predictions?
More specifically, you will work on novel combinations of joint models for longitudinal and time-to-event data with machine learning techniques. The primary aim is to derive causal predictions to enable (clinical) decision-making. This position primarily focuses on research, but the Ph.D. student is also expected to assist in the teaching and consulting responsibilities of the department.
The supervisors for this project are
Professor Dimitris Rizopoulos and
Professor Ellen Hamaker.