🎓 PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (Deep learning, Computer Vision, Robotics)

📝 The project will explore orchestrating reasoning models, vision-language models, world models and efficient control policies for reliable robot behaviour.

🔎 A key focus is deciding when to deliberate versus act reactively, using reasoning only when the gain in success justifies the cost in time, energy and compute.

📚 Research directions may include long-horizon planning with monitoring and recovery; efficient hybrid reasoning; vision-language task decomposition; world models for prediction and planning; reactive-deliberative architectures; compute-aware evaluation; edge/cloud orchestration; and real-robot testing. Work could involve new algorithms, reasoning pipelines, foundation model evaluation, benchmarks, platform integration and practical deployment limits.

🤓 It suits candidates interested in machine learning, computer vision, robotics, efficient inference or embodied AI, prioritising practical, reliable systems.

⌛️Closing date: 15 August 2026

📩 https://lnkd.in/dFZUVbh4

@PhysicsStation