Topic: Adaptive control

The Control and Automation group at inspire AG, an ETH Zurich strategic partner, offers a full-time postdoctoral position in Zurich with an industrial partner and ETH’s Automatic Control Laboratory. The researcher will develop iterative learning control and parameter-optimisation algorithms, connect theoretical analysis to tests on industrial hardware, and design adaptive control and estimation methods. The project aims to improve real-world industrial efficiency through learning-based control, process monitoring and practical guarantees. The advertised planned start is October 2026; the sourc

Pain is a major clinical problem affecting 1 in 5 people in the world. There are unresolved questions that urgently require answers to treat pain effectively, a crucial one being how the feeling of pain arises from brain activity. Computational models of pain consider how the brain processes noxious information and allow mapping neural circuits and networks to cognition and behaviour. To date, they have generally have assumed two largely independent processes: perceptual and/or predictive inference, typically modelled as an approximate Bayesian process, and action control, typically modelled a