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12119 - Postdoctoral Research Fellow - AI for Autonomy in Surgical Interventions
| Posting date: | 18 February 2025 |
|---|---|
| Salary: | £40,247 to £47,874 per year |
| Hours: | Full time |
| Closing date: | 10 March 2025 |
| Location: | Edinburgh, Scotland |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | University of Edinburgh |
| Job type: | Temporary |
| Job reference: | 12119 |
Summary
Grade UE07: £40,247 to £47,874 per annum, pro rata if part time
Institute for Regeneration and Repair / CMVM
Full time: 35 hours per week
Fixed term: for 24 months
The Opportunity:
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.
The salary for this post is £40,247 to £47,874 per annum.
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 areas
Excellent 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 progress
Institute for Regeneration and Repair / CMVM
Full time: 35 hours per week
Fixed term: for 24 months
The Opportunity:
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.
The salary for this post is £40,247 to £47,874 per annum.
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 areas
Excellent 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 progress