Adèle Ribeiro

RWTH Aachen University is recruiting for Causal AI for Health , a research group led by Prof. Dr. Adèle Helena Ribeiro in the area of Explainable AI in Life Sciences . The post announces one postdoctoral researcher (2 years) and one PhD student (3 years) , both funded at 100% TV-L E13 . The research focus is at the intersection of causal discovery and inference , Bayesian and probabilistic machine learning , uncertainty quantification , integration of expert knowledge , multimodal data modeling , and causal abstraction and representation learning . The group aims to build causal frameworks that work robustly on large-scale biomedical datasets and address challenges such as data heterogeneity , latent confounding , selection bias , and distributional shifts . Applications are especially relevant for students and researchers interested in computer science , statistics , mathematics , and biomedical data science. The project page describes broader applications in public health , clinical research , malaria , mental health , cardiovascular diseases , long COVID , and cancer . Eligibility highlights: a strong background in mathematics, computer science, or a related field is expected; experience in the listed methods is a plus. The positions are research-focused and suitable for candidates motivated to contribute to causal and explainable AI for the life sciences. How to apply: send a CV, two references, and a research statement (up to two pages) describing your background, interests, prior contributions, motivation, and goals. Email the application to [email protected] and use the correct subject line for either the PhD or postdoctoral track. Review begins on 2026-05-04 , and later applications may still be considered.