PhD in Causal RL for Industrial Automation (Remote) in Cambridge

PhD in Causal RL for Industrial Automation (Remote) in Cambridge

Cambridge Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Phaidra

At a Glance

  • Tasks: Explore causal reasoning in reinforcement learning for AI control systems.
  • Company: Phaidra, in collaboration with the University of Cambridge.
  • Benefits: Fully funded 4-year PhD studentship with expert supervision.
  • Other info: International applicants welcome; start date in January 2027.
  • Why this job: Join a cutting-edge project that shapes the future of industrial automation.
  • Qualifications: Strong background in AI, machine learning, or related fields.

The predicted salary is between 30000 - 40000 £ per year.

Phaidra invites applications for a fully funded 4‑year PhD studentship hosted at the University of Cambridge. You will explore integrating causal reasoning into reinforcement learning to build robust AI control systems for industrial settings.

The project covers theoretical foundations, algorithm development, and benchmarking, with supervision from Cambridge and Phaidra. International applicants welcome; January 2027 start.

#J-18808-Ljbffr

PhD in Causal RL for Industrial Automation (Remote) in Cambridge employer: Phaidra

Phaidra is an exceptional employer that fosters a fast-paced, team-oriented environment where your contributions directly influence the company's trajectory. With a fully remote work culture, competitive compensation, and a strong emphasis on professional development, employees enjoy unlimited paid time off and flexible stipends to enhance their workspace and well-being. The company values transparency, collaboration, and empathy, ensuring a supportive atmosphere for all team members, regardless of their location.

Phaidra

Contact Details:

Phaidra Recruitment Team

We think you need these skills to ace PhD in Causal RL for Industrial Automation (Remote) in Cambridge

Causal Reasoning
Reinforcement Learning
AI Control Systems
Algorithm Development
Benchmarking
Theoretical Foundations
Research Skills