Project descriptionThe Uncertainty in Artificial Intelligence (UAI) group is a new and quickly growing group embedded in the AI cluster (AIc) at the Eindhoven University of Technology and aims 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 on Probabilistic Machine Learning. The concrete research direction will be determined together with the successful candidate. Potential topics might be, but are not restricted to:
- Probabilistic graphical models
- Causal models
- Tractable probabilistic models
- Bayesian neural networks
- (Deep) Gaussian processes, neural processes
- Probabilistic programming
- Combinations of logic and probability
- Decision making under uncertainty
- Interpretability and explainability
- Robustness and reliability
- Tractable and efficient inference
- Approximate inference methods
- Machine learning and information theory
- Statistical learning theory
- Efficient machine learning
The position will be supervised by asst. prof. Robert Peharz and the successful candidate will have ample collaboration opportunities within the Department of Mathematics and Computer Science, and in particular within the AIc (groups Uncertainty in AI, Data Mining, and Databases).