Phaidra, a remote-first company, invites applications for a fully funded 4-year PhD studentship tied to the University of Cambridge. Work spans theoretical foundations in policy learning, algorithm development, and evaluation of RL methods on controlled environments with real-world industrial relevance.
Based at Cambridge with opportunities to spend time at Phaidra, you will join a world-class team tackling causal inference and sequential decision-making, mentored by an academic supervisor and
Fully Funded PhD: Causal RL for Industrial Systems in Cambridge employer: Phaidra
Phaidra is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to make a meaningful impact in the field of AI. With a focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects that shape the future of technology. Our remote work flexibility ensures a healthy work-life balance, making Phaidra an ideal place for talented individuals looking to thrive in their careers.
