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Assistant or Associate Professor in Applied Artificial Intelligence (53294-0526)
University of Warwick —Coventry
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£47,389 - £67,468 a year
Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526)
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You will hold a PhD in Artificial Intelligence, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, Robotics, Data Science, Systems…
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Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526)

University of Warwick -
Coventry

Apply Now

Job details

Permanent
£47,389 - £67,468 a year

Benefits

Company pension

Qualifications

Doctoral degree
Engineering
Machine learning
AI
Leadership

Full job description

Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526)

Location

University of Warwick Campus, Coventry

Department

WMG

Position Type

Permanent

Salary

£47,389 to £56,535 per annum (Assistant Professor) / £58,225 to £67,468 per annum (Associate Professor)

About the Role

Informal Queries

For informal queries, please contact Professor Darius Ceglarek at [email protected].

Flexible Working

We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.

WMG at the University of Warwick is undertaking a significant investment in Research & Teaching academic recruitment across several strategically important growth areas. As part of this coordinated campaign, we are seeking to appoint an Assistant Professor or Associate Professor in Artificial Intelligence for Manufacturing Systems to join our Advanced Manufacturing Processes and Systems (AMPS) Research Group.

This role offers an exciting opportunity to contribute to internationally leading research and innovation at the intersection of artificial intelligence, digital manufacturing, and intelligent industrial systems. Working closely with academic, industrial, and international partners, the successful candidate will help develop innovative solutions in areas including AI-enabled manufacturing, digital twins, intelligent automation, manufacturing analytics, industrial data systems, and system-level optimisation.

The successful candidate will contribute to high-quality research, collaborative funding activity, postgraduate supervision, and research-informed teaching within WMG’s highly interdisciplinary and industry-focused environment. The role will support the continued growth of research and innovation across advanced manufacturing, electrification, sustainable production systems, battery manufacturing, and software-enabled industrial systems.

WMG has a strong international reputation for translating emerging technologies into industrial impact and provides a unique environment for interdisciplinary collaboration across manufacturing, AI, automation, data science, energy, and digital engineering.

Appointments will be considered at either Assistant Professor or Associate Professor level depending on experience, research profile, leadership trajectory, and funding track record.

About You

You will hold a PhD in Artificial Intelligence, Manufacturing Engineering, Industrial Engineering, Computer Science, Automation, Robotics, Data Science, Systems Engineering, or a closely related discipline and demonstrate expertise aligned to Artificial Intelligence for Manufacturing Systems research.

We are particularly interested in candidates with expertise in one or more of:

AI and machine learning for manufacturing
digital twins and virtual manufacturing systems
intelligent automation and robotics
manufacturing analytics and industrial data systems
optimisation and intelligent decision-making
software-enabled industrial systems
smart production and next-generation manufacturing technologies

You should demonstrate the ability, or strong potential, to develop internationally recognised research through publications, collaborative projects, funding activity, and engagement with industrial and academic partners.

Candidates applying at Associate Professor level should demonstrate an established research profile and evidence of academic leadership, while Assistant Professor candidates should demonstrate strong potential to develop an independent and impactful research trajectory within a collaborative environment.

We particularly welcome candidates who are enthusiastic about interdisciplinary working, industrial collaboration, and translating research into meaningful real-world impact.

For details on the experience and skills required, please refer to the

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.

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 18 June 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:

1. Outline your employment and education history (including your most recent employment).

2. Outline the reasons for your interest in this position.

3. Demonstrate how you meet the requirements of the role with clear reference to each of the essential and desirable criteria in the

Interview Date: To be confirmed
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.

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.

Apply Now

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Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526)

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