Peter Rijnbeek

PhD position in Health Data Science at Erasmus MC in Rotterdam, focused on AI for drug safety , pharmacovigilance , and real-world data . The project sits within the Department of Medical Informatics and the Health Data Science group, with international collaboration through OHDSI and large-scale observational data networks. You will work on developing, implementing, benchmarking, and validating AI/ML workflows for reliable safety signal detection and validation across observational health data sources. Research themes include responsible AI, robustness, fairness, interpretability, causal inference, personalized risk assessment, and sex/gender-aware analysis, with attention to vulnerable groups such as pregnant women, children, and older adults. Supervision will be provided by Dr. Aniek Markus and Prof. dr. ir. Peter Rijnbeek . The position is embedded in a multidisciplinary, open-science environment at Erasmus MC, an international academic hospital and research institution in the Netherlands. Eligibility highlights: a Master’s degree in a relevant field such as natural sciences, computer science, medical/health informatics, econometrics, or data science; strong programming skills in R/Python and SQL ; excellent English; motivation for interdisciplinary research. Pharmacovigilance experience is not required but is considered an advantage. Funding and terms: full-time appointment for 4 years with a gross monthly salary of €3217–€4220 , plus benefits including a 13th month, travel package, pension contribution, and support from the International Office. Deadline: 2026-07-29 . Apply via the Erasmus MC vacancy page and include a CV, motivation letter (max 1 page), and a copy of your master’s thesis, internship report, or equivalent. Incomplete applications will not be considered.