Job Title: Assistant Professor in Laser-Based Manufacturing
Job Reference: 3782
Application Closing Date: 06/12/2026
Division, Department: Research Division, MM Laser Processing and Joining
Salary: Competitive starting salary range from £46,094 up to £51,753 per annum (dependent upon experience) with the potential to progress. A discretionary range for candidates with exceptional experience can be discussed/considered
Mode: Permanent, Full Time
Our Mission
Coventry University Group is a global education group with a mission of Creating Better Futures. We are driven by our passionate belief in the transformational power of education and research to enable and empower our students, colleagues and partners and to improve the world around them. Our people are key to our success and each role contributes to the Group’s ongoing progress in communities around the world.
An ambitious and innovative university, our research is designed to have real-world impact on society and tackle global challenges through our challenge-led, interdisciplinary research centres. We enable high-performing research teams and future research leaders to thrive and make an impact locally, regionally, nationally and globally.
The Role
The Research Centre for Manufacturing and Materials (CMM) is seeking an Assistant Professor (Research) in Laser-Based Manufacturing to support research in intelligent laser processing and process monitoring. This role focuses on combining laser manufacturing, advanced sensing, manufacturing data, and AI/ML to develop innovative and efficient manufacturing solutions.
In this role you will contribute to research that enhances process performance, quality and productivity through advanced monitoring, data analysis and process control. You will develop an independent research profile, publish high-quality research, secure external funding, collaborate with academic and industrial partners, and support postgraduate researchers while contributing to CMM's wider research and knowledge exchange activities.
We are particularly interested in candidates with experience in:
- Experience in laser-based manufacturing technologies, including welding, cutting and additive manufacturing.
- Expertise in real-time process monitoring using advanced sensing technologies.
- Skilled in manufacturing data acquisition, analysis and interpretation.
- Experience applying AI/ML for process optimisation, quality prediction and defect detection.
- Ability to integrate sensing, data acquisition and AI/ML solutions within manufacturing environments.
- Experience working within multidisciplinary research teams and industry collaborations.
Qualifications Required
- A PhD or equivalent in a relevant area of research such as laser processing, manufacturing engineering, mechanical engineering, materials science or engineering, applied physics, or a closely related discipline.
Our Successful Candidate
You will have an internationally recognised research profile aligned with the priorities of the Research Centre and its thematic areas, supported by a strong track record of high-quality research outputs and a pipeline of future publications. The successful candidate will demonstrate the ability to secure research funding, lead and deliver impactful research projects, and develop strategic collaborations and networks that enhance the Research Centre's research excellence, visibility and wider impact.
From your previous experience you will have expertise in laser-based manufacturing, including laser-material interactions, process optimisation, sensing technologies, data acquisition, and AI/ML applications for process monitoring and quality improvement. You will have an understanding of working with sensor systems, analysing complex manufacturing data, and integrating advanced monitoring and machine-learning solutions into industrial or research environments.
You will be able to collaborate effectively across multidisciplinary academic and industry partnerships, translate research into practical manufacturing solutions, and contribute to high-quality research outputs, innovation, commercialisation, and postgraduate supervision, while building a sustainable programme of externally funded research.
Experience of industrial laser cells, robotic integration, edge computing, real-time control, digital twins, advanced metrology, non-destructive evaluation, metallurgy or the deployment of monitoring systems within production environments would be advantageous. Experience of contributing to successful collaborative research proposals would also be welcomed.
The Benefits
As a staff member of Coventry University, you will have a access to a wide range of industry leading rewards and benefits which includes:
- Excellent Employers Pension Contribution
- 30 days Annual leave plus Bank Holidays
- New Holiday Purchase Scheme up to 5 additional days
- Life Assurance 4 x Salary
- BUPA Cash Plan
- 50% off Tuition Fees for staff dependants
- CU Reward Scheme – Discounts across a range of High Street/ Online Retailers
- Cycle To work scheme
Our Culture
As a global Education Group, equality, diversity, and inclusion are embedded within the fabric of our organisation and are a key focus of our core values. We harness the power and potential of the diverse cultures, backgrounds, abilities, and experiences of our students, colleagues, and partners to create opportunities for all.
Full Job Description & Person Specification
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We look forward to hearing from you!
