Research Assistant OR Research Associate in Machine Learning for Robotics

Applicants are invited for a post of Research Assistant or Research Associate to work with the University of Manchester members based in RAICo1, Whitehaven.

The successful applicant will join a growing team of robotics and AI researchers focusing on applications in challenging environments, focusing on guaranteed-safe technologies using model-based control combined with additional sensorial information that is processed through a machine learning element.

The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with internal and external stakeholders.

For the post of Research Assistant, an MSc (or equivalent) in a relevant discipline is required.

For the post of Research Associate, a PhD (or equivalent) in a relevant discipline is required, alongside suitable experience in research methods and techniques to work in a fast-paced research programme.

International candidates are advised to carefully read the University of Manchester’s information on Passports, visas, and eligibility to work , and Relocating to Manchester . Candidates necessitating a visa and/or an ATAS are advised that it can be a time-consuming process, and the end date cannot be extended to accommodate delays.

Location and Facility

The successful applicant will join The University of Manchester’s team at RAICo One Facility in West Cumbria, where they will have the opportunity to work in close partnership with robotics, control, and AI experts from the University of Manchester, Sellafield Ltd, and the UK Atomic Energy Authority. RAICo One is a fully equipped robotics laboratory with state-of-the-art robotic research and development facilities, including a wide range of robotic systems and robot test arenas.

This post is offered with an end date of 30 September 2026.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Dr Murilo M. Marinho

Email: murilo.marinho@manchester.ac.uk

General enquiries:

Email: People.Recruitment@manchester.ac.uk

Technical support:

Jobtrain: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.