PhD RESEARCH FELLOW IN CAUSAL DECISION MAKING Causality is a fast-developing area of machine learning, and this PhD project offers a great opportunity to learn drive innovative research at the border between causality and decision-making.
The project will focus on studying how causal models can be learned and exploited in the context of decision-making. In particular, it will consider the scenario in which one or more learning agents have the possibility of relying on multiple causal models describing their environment. Research will span the space of causality, causal abstraction, causal representation learning and reinforcement learning; the PhD project itself can follow multiple directions, ranging from more theoretical studies on how these models may be related and what guarantees they could provide, to more methodological research on the design of novel algorithms aimed at improving decision-making.
Applicants should hold, or be close to completing, a MSc degree in informatics or a closely related field. Preference will be given to candidates with knowledge in machine learning, causality, and reinforcement learning.
Deadline for applications is
11 August 2024.
Application page:
https://www.jobbnorge.no/en/available-jobs/job/265317/phd-research-fellow-in-causal-decision-makingFuther inquiries can be directed to:
fabio....@uib.no