Job Search and Career Advice Platform

Enable job alerts via email!

Postdoc: SLAM & Large-Scale Graph Optimization

The University of Edinburgh

United Kingdom

On-site

GBP 41,000 - 49,000

Full time

29 days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A prestigious university in the UK is seeking two Postdoctoral Research Associates for funded positions in SLAM and large-scale graph optimisation. The roles require a PhD in Robotics, Computer Science or Mathematics, along with strong programming skills in C++ and/or Python. Successful candidates will contribute to innovative research alongside Dr Liang Zhao. This full-time position offers a competitive salary and comprehensive benefits in a vibrant academic environment.

Benefits

Competitive salary
Generous holiday entitlement
Comprehensive pension schemes
Staff discounts
Family-friendly initiatives

Qualifications

  • PhD in Robotics, Computer Science or Mathematics required.
  • Strong background in robotics, computer vision, optimisation, or applied mathematics needed.
  • Excellent programming skills in C++ and/or Python and ROS are essential.

Skills

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 top robotics conferences and journals
Capability to plan, prioritise, and deliver technical milestones

Education

PhD in relevant field
Job description
A prestigious university in the UK is seeking two Postdoctoral Research Associates for funded positions in SLAM and large-scale graph optimisation. The roles require a PhD in Robotics, Computer Science or Mathematics, along with strong programming skills in C++ and/or Python. Successful candidates will contribute to innovative research alongside Dr Liang Zhao. This full-time position offers a competitive salary and comprehensive benefits in a vibrant academic environment.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.