Assistant Professor in Laser-Based Manufacturing

Overview

Coventry University Group is seeking an Assistant Professor in Laser-Based Manufacturing for its Centre for Manufacturing and Materials. This full-time and permanent academic position takes place on site and centers on research related to intelligent laser processing, advanced sensing, manufacturing data analysis, and artificial intelligence and machine learning applications. The goal of the role is to enhance manufacturing performance, productivity, and product quality through process optimization, data analysis, and real-time process monitoring.

Who can apply

Applicants must hold a PhD or an equivalent qualification in a relevant subject area, which includes laser processing, manufacturing engineering, mechanical engineering, engineering or materials science, applied physics, or a closely related discipline. Ideal candidates bring an internationally recognized research profile accompanied by strong publication records, proven experience in securing funding, and a history of leading impactful projects while developing academic and industry collaborations. Candidates are also expected to demonstrate expertise in laser-based manufacturing, advanced sensing, laser-material interactions, data acquisition, process optimization, and machine learning or artificial intelligence for quality improvement and process monitoring. Experience integrating sensor systems, analyzing manufacturing data, and applying machine learning solutions in research or industrial settings is essential.

What you get

The position offers a salary between £46,094 and £51,753 per year. Staff members receive access to various rewards and benefits provided by Coventry University, including an excellent employers pension contribution, 30 days of annual leave plus bank holidays, a holiday purchase scheme, life assurance at four times the salary, and a BUPA cash plan. Additional benefits consist of a 50 percent discount on tuition fees for staff dependents, a cycle to work scheme, and the CU reward scheme.

Requirements

The responsibilities of the role require developing an independent research profile, publishing high-quality research, securing external funding, and building collaborations with both industrial and academic partners. Successful candidates will also support postgraduate researchers, translate research into practical manufacturing solutions, supervise students, and foster sustainable and externally funded research programs. Relevant experience encompassing industrial laser systems, robotic integration, real-time control, edge computing, digital twins, advanced metrology, non-destructive testing, metallurgy, and production monitoring is beneficial.

Key dates

The closing date for applications is December 6, 2026.