Join the Baillie Gifford Pandemic Science Hub to develop AI-driven autonomy for lung interventions, leveraging reinforcement learning, computer vision, and robotics for precise navigation and lung sampling. This role involves research on sensor-driven localization, mapping, and autonomous navigation, contributing to cutting-edge surgical robotics while collaborating with a multidisciplinary team and disseminating findings through publications and conferences. This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.Your skills and attributes for success:PhD in the area of machine learning for robotics An excellent track record of publications in top-tier journals (e.g. IEEE Trans. or broad-interest science venues) and/or conferences in AI (e.g. IJCAI, AAAI, NeurIPS, ICML, ICLR), robotics (e.g. R:SS, CoRL, ICRA), or allied areasExcellent proven experience of developing field robotics systems involving robotic navigation Ability to work effectively as part of a team, to meet deadlines, and to report on project progressGrade UE07: £40,247 to £47,874 per annum, pro rata if part timeInstitute for Regeneration and Repair / CMVMFull time: 35 hours per weekFixed term: for 24 months Apply Here This article was published on 2025-02-19