This 4-year fully funded doctoral studentship supports research on technical AI governance and safety, including intervention points in AI development, governance actions, bias mitigation, verifiable computation for AI training, privacy-preserving external auditing, and AI safety throughout the development pipeline. The award covers full course fees and a tax-free maintenance stipend.
Applicants must have a first-class or strong upper second-class undergraduate degree (or equivalent) in computer science, engineering, physics, mathematics, statistics, or related fields. Excellent English communication skills and broad interest in machine learning, robotics, cyber-physical systems,
