The Uncertainty in Artificial Intelligence (UAI) group (https://uai.win.tue.nl) is a quickly growing group embedded in the Data and AI cluster at the Eindhoven University of Technology (https://dai.win.tue.nl). In the cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability and explainability of AI. We seek a postdoctoral researcher to enhance our strengths in research and education. The successful candidate will work with topics related to theoretical AI and machine learning, and will play a significant role in the NWO Perspectief Project Personalized Oncology (https://www.nwo.nl/en/researchprogrammes/perspectief/perspectief-grants/person-explainable-maintainable-and-trustworthy-decision-support-systems-personalised-care-oncology), involving decision support systems for better personalized care. There will be opportunities for collaboration with multiple researchers inside and outside the university. The successful candidate will also contribute to educational tasks of the group, including the involvement in advanced courses in AI and machine learning, as well as (co-)supervision of students in all levels.

Research topics of interest include (but are not limited to):

• * Probabilistic machine learning,
• * Probabilistic graphical models,
• * Tractable probabilistic models,
• * Decision making under uncertainty,
• * Interpretability and robustness in AI,
• * Computational complexity of AI,
• * AI/ML in personalized healthcare.