Assistant Professor (Research) - Data and AI Analytics for Manufacturing Applications (111399-0426)

About The Role

Informal Queries

For informal queries, please contact Matthew Higgins (Professor) at m.higgins@warwick.ac.uk.

Government strategy aims to exploit A.I. faster and further into a broader number of sectors to enable the proposed benefits of increased efficiency, higher productivity and long term lower energy use. WMG as a department are evolving, knowing that to deliver high impact AI research and innovation, it is critical that we are able to attribute value and tangibility to the data we collect and exploit.

Role

This role will support the departments data-driven AI strategy to strengthen its role in UK manufacturing innovation. Reporting into the WMG Theme Leads, WMG are looking for a researcher who can support the:

• Definition of requirements for real and synthetic data collection, aligned with project priorities alongside providing best practice guidelines.
• Development of exploitation models, including licensing, IPR, and hosting data as a tangible product.
• Cross cutting activities between research groups, IT, and business development to identify gaps and opportunities.

This role is research focused, with a research focused mind-set required to support that theme leads within a international renowned university environment. As part of the role you will be able to contribute to a growing project portfolio in data and applied AI in the manufacturing space.

About You

You will have a PhD in Engineering, Computer Science or a related field (i.e. data science). Particularly, candidates should have experience and a sustained track record of:

• Research Methodologies of real and synthetic data collection.
• Delivering impact from data, which could be through AI training or other routes to exploitation.
• Working as part of a team in a dynamic research environment.

Candidates will be required to show how they can work within a cross-cutting role and asked to explain their approach to engaging with a broad range of research groups to engage, infer and distil their distinct data research challenges into an action plan as part of the WMG strategy development. For details on the experience and skills required, please refer to the job description attached as a PDF below.

About The Department

The Warwick Manufacturing Group (WMG) is the largest department at the University of Warwick, with over 800 staff and nearly 3,000 students across undergraduate and postgraduate programmes in management, technology, and applied engineering. WMG hosts one of the seven centres for High Value Manufacturing (HVM) Catapult, from which this project is funded. The successful applicant will be expected to work across the department and all of its research groups as well as engage with experts and specialists from service teams. Wider still will be opportunities to work with the High Value Manufacturing (HVM) Catapult as representatives on working groups and other committees as they evolve. We are globally recognised for our world-class research, innovative industry partnerships, and teaching excellence, and we are proud holders of the Athena SWAN Silver Award and the Institutional Silver Award. Find out more about the High Value Manufacturing Catapult centre. Find out more about the Energy Innovation Centre. Find out more about our range of undergraduate and apprenticeship degrees here.

About The University

We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK. Additionally, 92% of our research is rated world-leading or internationally excellent. Find out more about us at warwick.ac.uk/about/. World University Ranking 2026, Complete University Guide 2026 Research Excellence Framework 2021

How to Apply

CLOSING DEADLINE: Thursday 7th May 2026 at 11:55pm (UK Time)

To apply, please click APPLY below and submit your application by the closing deadline. You will be asked to include a CV and cover letter. Within these documents, please:

• Outline your employment and education history (including your most recent employment).
• Outline the reasons for your interest in this position.
• Demonstrate how you meet the requirements of the role with clear reference to each of the essential and desirable criteria in the Job Description (PDF attached below).

Interview Date: Week Commencing 11th May 2026

Start Date: To be confirmed

Applications must be submitted by the closing deadline. Only applications submitted through our Careers Portal will be considered. You are welcome to include any careers breaks you may have taken (e.g. parental/caring/long-term sick leave). Please note that if you do not evidence the essential criteria, the hiring panel may not be able to shortlist your application. For guidance on how to format a cover letter, see here.

What we Offer

We Provide a Comprehensive Range Of Benefits, Including

• An attractive pension scheme.
• 30 days holiday plus University Christmas closure.
• Generous parental/adoption leave policy.
• Onsite childcare facilities.
• Excellent learning and development opportunities.

We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements. For more information, see here. We are proud to be a Living Wage employer.

Our Commitment to Inclusion

Equality, Diversity, & Inclusion

Warwick is committed to fostering a diverse, inclusive and respectful community where everyone can thrive. We welcome applications from all backgrounds, cultures, and communities, and actively encourage candidates from underrepresented groups to apply. Find out more about our Social Inclusion work at Warwick. Find out more about our awards and accreditations. We are also one of the six founder institutions of the EUTOPIA European University Alliance.

Safeguarding & DBS

The University of Warwick is committed to safeguarding and promoting the welfare of all those we work with. Roles involving regulated activity are subject to a Disclosure and Barring Service (DBS) check at the appropriate level, in line with the DBS Code of Practice. The University will ensure that anyone subject to a barring order does not undertake any work with the barred group (children and/or adults). All employees, volunteers, and partners are expected to share our commitment to safeguarding.

Rehabilitation of Ex-Offenders

The University will not discriminate against applicants who make a disclosure relating to a conviction. Disclosures at application stage are only visible to the DBS team, not to hiring panels. This ensures fairness and removes bias from the shortlisting process.

Job Description JD Assistant Professor (Research) - Data and AI Analytics for Manufacturing Applications (111399).pdf – 218KB Opens in a new window

Right to Work in the UK

If you do not yet have the right to work in the UK and/or are seeking sponsorship for a Skilled Worker visa, please follow this link which contains further information about obtaining the right to work in the UK.