Assistant Professor (Teaching Focussed) in Applied AI and Robotics (110984-0226)

About The Role

Informal Queries

For an informal conversation about this role contact Dr Awinder Kaur, Head of Digital Technologies and Machine Intelligence (DTMI) Education Group, awinder.kaur@warwick.ac.uk

WMG is seeking to appoint an Assistant Professor (Teaching) with experience in delivering and/or developing modules in Applied Artificial Intelligence, Robotics and practice-led digital technologies. We welcome candidates with strong expertise in areas such as:

• Machine learning and deep learning using PyTorch or TensorFlow
• Computer Vision (CV), Natural Language Processing (NLP), and Generative AI
• Model deployment (MLOps), explainable AI (XAI), and advanced techniques such as transformers and GANs
• Application of AI to real-world domains such as manufacturing, healthcare, business, and sustainability
• AI-enabled robotics, intelligent automation, autonomous or cyber-physical systems

This role is on the University of Warwick Teaching Career Pathway, providing opportunities for advancement up to and including Professor level. This is an education focussed appointment and we are looking for candidates who can demonstrate experience of teaching in higher education and a passion for impactful education and positive student outcomes. Candidates with a track record in research outputs but limited educational experience are unlikely to be shortlisted for this role.

There is significant growth in demand for our education programmes and this is an exciting opportunity for you to develop your professional profile and work as part of a world-renowned education group. In return we will provide a great range of benefits which includes membership of the USS pension scheme, 30 days holiday plus bank holidays and Christmas closure, and excellent learning and development opportunities.

About You

The successful candidate will support the delivery and development of AI-, robotics- and related digital technologies modules with a strong applied and practice-led focus. We are particularly interested in applicants with knowledge of deep learning and modern AI techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, GANs, and AI agents / agentic AI. Experience applying these techniques in practical, real-world contexts such as computer vision, natural language processing, autonomous or intelligent systems, robotics, or industrial and digital technology use cases is highly desirable. Familiarity with MLOps pipelines, explainable or ethical AI, and deploying AI models in applied environments would be an advantage.

For roles at Assistant Professor level, the successful candidate will hold a doctorate, or equivalent professional qualification alongside a postgraduate degree, and have experience of teaching in a higher education or professional education context. For details on the experience and skills required, please refer to the job description attached as a PDF below.

About The Department

WMG is the largest department at the University of Warwick with over 900 staff, world renowned for providing innovative solutions to industry through its research, development and education programmes. Our industry focussed education portfolio includes nearly 3,000 students studying management, technology and applied engineering subjects, at postgraduate and undergraduate level. We have high expectations for our teaching and our courses are regularly ranked top in the UK and amongst the leading courses in their field in the world.

At WMG we are committed to supporting staff to achieve their potential. We currently hold the Athena SWAN Silver Award, and the University of Warwick holds an Institutional Silver Award: a national initiative that recognises the advancement of gender equality, representation, progression and success for all in academia. We are supportive of staff with caring responsibilities including a generous maternity/paternity/adoption/parental leave policy, and onsite childcare facilities. We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.

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 106 th in the world and 8th 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 2024, Guardian University Guide 2025 Research Excellence Framework 2021

How to Apply

CLOSING DEADLINE: Tuesday 10th March 2026 at 11:55pm (UK Time)

To apply, please click "Apply" below and submit an application form by the closing deadline. You will be asked to include a CV and a cover letter.

Your CV Should Include

• Your education and employment history (including your most recent employment).
• Any other relevant experience (e.g. volunteering, extracurricular, etc.).

Your Cover Letter Should Explain

• Your motivations for applying to the role.
• Using examples, how you meet the essential and desirable criteria detailed in the job description (PDF attached below).

All essential criteria must be met by candidates who are invited to interview.

Interview Date: To be confirmed

Start Date: 1st April 2026

Please note application forms must be submitted before the stated deadline - you will not be able to submit after 23:55 (even if you opened the form earlier). Only applications submitted via our official careers portal (warwick-careers.tal.net) will be considered.

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 (Teaching Focussed) in Applied Artificial Intelligence (110984).pdf – 152KB 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.