PhD student Medical Informatics

PhD Opportunity in Health AI and Data Science at Erasmus MC

Drive innovation at the intersection of AI, data science, and healthcare by developing cutting-edge methods for synthetic health data generation and analysis within a leading international research environment.

The Department of Medical Informatics at Erasmus MC invites applications for a PhD position at the forefront of health AI and data science. Join our innovative, multidisciplinary team engaged in international collaborations, including the Observational Health Data Sciences and Informatics (OHDSI) initiative—a global consortium dedicated to harnessing the value of health data via large-scale analytics—and the SYNTHIA project, a Europe-wide multidisciplinary initiative focused on advancing privacy-preserving healthcare solutions through the development and validation of tools and methods for synthetic data generation across diverse data types and clinical use cases.

As a PhD candidate, you will conduct research at the intersection of clinical data science and artificial intelligence, with a strong focus on the generation and evaluation of structured synthetic health data. You will also explore the application of large language models (LLMs) to healthcare data and terminology systems.

Your key research areas may include:

• Developing and evaluating methods for generating synthetic healthcare data from real-world primary care sources.
• Assessing the utility of synthetic data for population-level characterization and patient-level risk prediction.
• Advancing the extraction, retrieval, and standardization of information from clinical texts.

Throughout your research, you will address critical challenges in large-scale, federated observational studies and contribute to the advancement of multimodal synthetic data methodologies and analytic approaches in health data science.