Assistant or Associate Professor in Applied Artificial Intelligence (53294-0526) in Coventry

Location: University of Warwick Campus, Coventry

Department: WMG

Position Type: Permanent

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.

Operation Requirements

The successful applicant will be required to work the majority of their time on campus. WMG at the University of Warwick is undertaking a significant investment in research and 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 Applied Artificial Intelligence to contribute to internationally leading research, innovation, and teaching within WMG’s collaborative and industry‑focused environment.

This role offers an exciting opportunity to contribute to the development and application of artificial intelligence technologies that address complex real‑world challenges across manufacturing, mobility, engineering systems, creative technologies, simulation, and digital environments. Working closely with academic, industrial, and international partners, the successful candidate will help develop innovative AI‑driven solutions with clear real‑world impact.

The successful candidate will contribute to high‑quality research, collaborative funding activity, postgraduate supervision, and research‑informed teaching across areas including machine learning, deep learning, generative AI, visual computing, intelligent systems, digital twinning, and human‑AI interaction. WMG offers a highly interdisciplinary environment with strong industrial engagement, access to world‑class facilities, and extensive opportunities to collaborate across advanced manufacturing, automation, transport, simulation, and digital engineering domains.

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, Computer Science, Engineering, or a closely related discipline and demonstrate expertise aligned to applied AI research and innovation. We are particularly interested in candidates with expertise in one or more of:

• Machine learning and deep learning
• Generative AI
• Visual computing and simulation
• Intelligent engineering systems
• Digital twinning
• Human‑AI interaction
• AI for manufacturing and industrial systems
• AI for transport and intelligent mobility

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, industry engagement, and translating research into meaningful real‑world impact.

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. We are proud to be a Living Wage employer.

Equal Opportunity

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 under‑represented groups to apply. 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.

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