PhD scholarship in Probabilistic Machine Learning for Decision-Making under Uncertainty - DTU Compute

Technical University of Denmark

Conduct independent and collaborative research on probabilistic machine learning and active inference for sequential decision-making under uncertainty; develop novel models and algorithms; implement and evaluate them using modern machine learning frameworks; investigate methodology through real-world use cases including dynamic pricing; disseminate research results and participate in collaborations; complete coursework and contribute to academic environment including limited teaching.