Research Associate

UE07: £41,064.00 to £48,822.00 Per Annum. 

College of Science & Engineering / School of Informatics. 

Full Time 35 hours per week. 

Fixed Term - 24 months fixed term contract. 

The Opportunity: 

Help us redefine what’s possible. Be part of something bigger.   

The University isn’t just any employer. We are part of a local community and a contributor to global thinking, progress and research. In Edinburgh, you are in one of the world’s most attractive cities with active arts and social sectors, while working in a University that has made significant contributions to society, medicine, physics and teaching for over four centuries. Our people have helped create the modern world and are working on more ground-breaking technologies and practices. 

The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our student’s performance and wellbeing. 

We are pleased to announce a fully funded Postdoctoral Research Associate position in the areas of SLAM, large-scale graph optimisation, and multi-modal robotic perception at School of Informatics, University of Edinburgh, UK. This position is 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. 

People have always been at the heart of our work. Our people are at the centre of the University community and everything we do. We value colleagues with drive, determination and a passion for what they do. We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful flexibility that works for you.  

A career with us has a range of other benefits that can be tailored to your lifestyle:   

• Opportunities to develop new skills and broaden your experience 
• Leading-edge research 
• Opportunities for publication 
• Working within one of the world’s leading universities   

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 team currently operates a 100%, i.e. 5 days, on-campus working arrangement which has been agreed by the line manager.

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