At a Glance
- Tasks: Join us to lead research in AI for manufacturing systems and innovate with industry partners.
- Company: University of Warwick, a top-ranked research university with a vibrant academic community.
- Benefits: Enjoy 30 days holiday, flexible working, and excellent professional development opportunities.
- Other info: Be part of a diverse and inclusive environment that values innovation and collaboration.
- Why this job: Make a real-world impact in advanced manufacturing and AI while collaborating with global experts.
- Qualifications: PhD in relevant fields and expertise in AI applications for manufacturing.
The predicted salary is between 55000 - 65000 € per year.
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.
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.
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.
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.
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:
- 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.
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 career 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.
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. 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.
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.
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.
Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526) in Coventry employer: University of Warwick
The University of Warwick, particularly through its Warwick Manufacturing Group (WMG), is an exceptional employer that fosters a vibrant and inclusive work culture, prioritising employee well-being and professional development. With a strong commitment to research excellence and industry collaboration, WMG offers unique opportunities for academic growth in the field of Artificial Intelligence for Manufacturing Systems, supported by generous benefits such as flexible working arrangements, extensive holiday, and a robust pension scheme. Joining WMG means being part of a globally recognised institution dedicated to translating innovative research into real-world impact, all within the dynamic environment of Coventry.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526) in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in academia and industry, especially those involved in AI and manufacturing. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching the latest trends in AI for manufacturing. Show us that you're not just knowledgeable but also passionate about how these technologies can transform the industry.
✨Tip Number 3
Practice your pitch! Be ready to explain your research interests and how they align with WMG’s goals. We want to see your enthusiasm for interdisciplinary collaboration and real-world impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who follow instructions!
We think you need these skills to ace Assistant or Associate Professor in Artificial Intelligence for Manufacturing Systems (77978-0526) in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your relevant experience in AI and manufacturing systems, and don’t forget to showcase any publications or projects that align with our research focus.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re excited about this position. Share your passion for AI in manufacturing and how your background makes you a great fit for our team at WMG.
Address the Criteria:When you apply, clearly address each of the essential and desirable criteria listed in the job description. This helps us see how you meet our expectations and makes it easier for the hiring panel to shortlist your application.
Apply Through Our Website:Remember, we only consider applications submitted through our Careers Portal. So, make sure to apply there before the deadline to ensure your application gets the attention it deserves!
How to prepare for a job interview at University of Warwick
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and manufacturing systems. Be ready to discuss your research and how it aligns with the role. Familiarise yourself with key concepts like digital twins, intelligent automation, and optimisation techniques.
✨Show Your Passion for Collaboration
This role is all about working with academic and industrial partners. Prepare examples of past collaborations or projects where you’ve successfully worked in a team. Highlight your enthusiasm for interdisciplinary work and how you can contribute to WMG’s collaborative environment.
✨Tailor Your Application
When crafting your CV and cover letter, make sure to directly address the essential and desirable criteria listed in the job description. Use specific examples from your experience that demonstrate how you meet these requirements, especially your potential for impactful research.
✨Prepare Questions
Interviews are a two-way street! Think of insightful questions to ask about the department's research focus, funding opportunities, and how they support career development. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
