Postdoctoral Researcher Position on Graph Machine Learning for Healthcare
We invite applications for a postdoctoral research position in Graph Machine Learning for Healthcare at CentraleSupélec, Inria, Université Paris-Saclay (Paris area, France), starting in early 2027.
EHR data present several challenges, including heterogeneous and multimodal information, missing observations, and complex temporal dependencies. The research will explore how graph machine learning approaches can address these challenges to learn effective and transferable patient representations that support a range of downstream clinical prediction tasks.
The main research directions include:
- Graph Neural Networks (GNNs)
- Self-supervised learning on graphs
- Generative models for graph-structured data
- Patient representation learning from heterogeneous, multimodal, and temporal EHR data
The position offers opportunities to conduct fundamental research in graph machine learning while addressing real-world challenges arising from clinical data.
For further details and application instructions, please consult the full job announcement.
