The Uncertainty in Artificial Intelligence (UAI) group is a quickly growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl). In the DAI 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. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of Reinforcement Learning. The concrete research direction will be determined together with the successful candidate. The research topics include, but are not restricted to:

• Reinforcement Learning: Theory and Application
• Offline/Off-policy Reinforcement Learning
• (Contextual) Multi-Armed Bandits
• Fairness-aware Learning via Reinforcement Learning
• Decision Making under Uncertainty
• Robustness in Reinforcement Learning
• Causality and Counterfactual Learning
• Generative Models for Model-based Reinforcement Learning

• Master's degree in Computer Science, Mathematics, or a relatedfield
• Excellent analytical skills
• Excellent coding skills (e.g. Python, PyTorch, Tensorflow)
• Excellent academic writing and presentation skills
• proficiency in English (written and spoken)
• Desire to conduct excellent research and publish in high quality conferences andjournals
• * Independent thinker and self-responsibility
• Ability and desire to collaborate and work in teams
• Ability and desire to support teaching and to co-supervise bachelor and master students

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.