13493- Research Associate

University of Edinburgh; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

A leading educational institution in the United Kingdom is seeking two Postdoctoral Research Associates for their School of Informatics. These full-time positions focus on next-generation estimation and optimisation techniques for large-scale graph problems and intelligent robotic perception. Candidates must have a PhD in Robotics, Computer Science or Mathematics, and strong skills in C++ and/or Python. The roles are fixed-term for 24 months, offering a competitive salary range of £41,064- £48,822.

Qualifications

• Must have a PhD in Robotics, Computer Science or Mathematics.
• Strong background in robotics, computer vision, optimisation or applied mathematics.
• Excellent programming skills in C++ and/or Python and ROS.

Responsibilities

• Contribute to new research programme in SLAM and large-scale graph optimisation.
• Focus on next-generation estimation and optimisation techniques.

Skills

C++ programming

Python programming

Robotics

Computer vision

Optimisation

Applied mathematics

Education

PhD in Robotics, Computer Science or Mathematics

Job description

The Opportunity

Grade UE07: £41,064- £48,822

College of Science & Engineering, School of Informatics – University of Edinburgh

Full‑time: 35 hours per week

Fixed term: 24 months (up to 31 December 2027)

The School of Informatics invites applications for two Postdoctoral Research Associate positions in SLAM and large‑scale graph optimisation. These positions are part of a new research programme led by Dr Liang Zhao, focusing on next‑generation estimation and optimisation techniques for large‑scale graph optimisation problems and intelligent robotic perception.

Your skills and attributes for success

• PhD in Robotics, Computer Science or Mathematics
• Strong background in robotics, computer vision, optimisation or applied mathematics
• Excellent programming skills in C++ and/or Python and ROS
• Experience delivering research results in an academic context (e.g. at top robotics conferences and journals)
• Demonstrated capability to plan, prioritise and deliver technical milestones within agreed project schedules