The University of Tartu is offering a fully funded PhD position as part of the Horizon Europe Marie Skłodowska-Curie Doctoral Network project “ML CARE.” This opportunity is hosted within the Health Informatics group, a leading research team focused on health data analytics, personalized medicine, and the application of advanced AI methods to healthcare challenges. The PhD project centers on developing robust numerical and temporal embeddings from underused health measurement data—including continuous, sparse, irregular, and variable-quality datasets—and integrating these into clinical Foundation Models to enhance patient-level trajectory and outcome prediction.

ML CARE is an interdisciplinary initiative aiming to revolutionize precision medicine by leveraging cutting-edge AI solutions that combine genomic, clinical, and environmental data into holistic, multimodal patient representations. The project emphasizes trustworthiness, explainability, and security in AI applications for real-world clinical decision-making. Doctoral candidates will benefit from a comprehensive international training program, collaboration with leading experts, and access to state-of-the-art research infrastructure.

Applicants should have a strong background in machine learning, hands-on experience with AI model training, and a keen interest in healthcare data. The position is fully funded under the prestigious Marie Skłodowska-Curie Actions, offering a competitive stipend and full tuition coverage. The application window is open from January 1, 2026, to early March 2026, with selected candidates expected to join by summer 2026. For more information and to apply, visit the ML CARE project website or contact Assistant Professor Asad Munir at the University of Tartu.

Key research areas include machine learning, health informatics, precision medicine, AI model development, multimodal learning, and data analytics. The Health Informatics group at the University of Tartu provides a vibrant environment for interdisciplinary research and training, with ongoing projects in OMOP, OHDSI, and personalized healthcare solutions.