School of Architecture, Technology and Engineering
Location:
Brighton - Moulsecoomb
Salary:
£41,064 to £48,822 pro rata
Contract Length:
36 months
Closing Date:
Sunday 23 November 2025
Interview Date:
See advert
Reference:
TE
Passionate about shaping a sustainable future? Join us in advancing the Circular Economy and solving global issues around resource resilience and Net Zero
We welcome applicants with expertise in engineering, computer science, or data analytics to join our supportive School in vibrant Brighton. You'll be part of an innovative, collaborative environment that values real-world impact.
We are working in partnership with six other universities-Birmingham, Sheffield, Strathclyde, Leeds, Loughborough, and the Manufacturing Technology Centre (MTC)- and cooperating with numerous industry partners, as part of the EPSRC Manufacturing Research Hub in Robotics, Automation & Smart Machine Enabled Sustainable Circular Manufacturing & Materials (RESCu-M²). This £11 million investment supports fundamental research to deliver transformative impact in sustainable manufacturing.
The project will develop a decision-making solution to enhance the efficiency of circular manufacturing, focusing on Re-X processes (remanufacturing, refurbishment, repair, reuse, and recycling). Using advanced sensing technologies and data analytics, the project will deliver insights to support informed decision-making in end-of-life product assessment, Re-X process optimisation, and quality assurance. The project also encourages high-value circular practices in sectors like medical technology, energy, and large-scale infrastructure.
To be successful in this role, you should have:
* Up-to-date and in-depth knowledge in engineering, computer science, and data analytics.
* Understanding of equality of opportunity, academic integrity, and issues related to circular manufacturing
* Strong IT and programming skills (e.g., Python, Visual Studio, cloud-based applications).
* Knowledge of manufacturing processes, technologies, and operations, or familiarity with Circular Economy principles, machine learning, artificial intelligence, and SQL databases.
* A relevant degree in Engineering, computer science and data analytics or a closely related subject and a postgraduate qualification in the relevant discipline or equivalent professional experience.
This post is offered on a full-time (1.0 FTE) basis; however, job share applications are welcome. We offer a range of benefits, including opportunities for hybrid/remote working, a generous pension scheme, and additional leave during the festive period.
If you would like an informal discussion before applying, please contact Prof. Yan Wang at
Interviews for this post are expected to take place in early December.
Please note that due to the salary for this position, we may not meet the eligibility criteria for sponsorship for a Skilled Worker Visa. Under the current points-based immigration system, the minimum salary required for sponsorship without tradeable points for a Research Fellow £43,019 per annum. You can find more information on what tradeable points you may be eligible for and the corresponding salary discount here: The UK's points-based immigration system: an introduction for employers (accessible version) - GOV.UK ( )
Before you apply, please ensure you have checked what visas you are eligible for. You can find more information here: Eligibility to work, visas, and passports )
For more information on sponsorship and alternative visas, please click the following link: Work in the UK - GOV.UK ( )
Email details to a friend
Apply Online
Further details:
Job Description
The University is committed to creating and maintaining an inclusive environment for all staff regardless of age, disability, family or caring responsibilities, gender identity, marital status, pregnancy or maternity, race, religion or belief (including non-belief), sex and sexual orientation. We embrace equality and diversity in our working, learning, research and teaching environment and are committed to maintaining a supportive and inclusive community. We particularly encourage applicants from Minority Ethnic backgrounds because the University is under-represented by Minority Ethnic staff.
For the vast majority of our roles we operate an agile working system, with time split between working on campus and at the employee's home. It is the University's expectation that home working will take place within the UK.
Further information about working for us, as well as the wide range of benefits we offer, can be found in the working with us section of our vacancies page.