Research Fellow in Automation and Control

About Liverpool John Moores University

Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our students and staff, past, present, and future, are the beating heart of our city and can be found in every corner of every industry and community. We couldn't exist anywhere else and have shaped the city in which we belong.

Working with the people of Liverpool to improve lives and support communities is at the heart of why we were founded and why we exist today.

The Built Environment and Sustainable Technologies (BEST) Research Institute is seeking a highly motivated Research Fellow in Automation and Control to support the advancement and scaling of biomanufacturing processes. You will address key technical challenges, including in process monitoring, and will investigate the application of adaptable technologies from other sectors to enhance system performance. This includes exploring the use of digital twins for bioreactors and deploying AI‑driven predictive models to improve optimisation, consistency and overall yield.

The main focus for this role is to work with the driven research team who are at the forefront of sensor technologies development and feedback process control for quality assurance tools and the next generation of renewable energy development. You will help in the research and development of the sensor technology, robotic testing and validation systems and in the AI data analysis to create multi‑variate system models of different processes.

• Support the advancement and scaling of biomanufacturing processes, addressing key technical challenges in process monitoring.
• Investigate the application of adaptable technologies from other sectors to enhance system performance, including digital twins for bioreactors and AI‑driven predictive models.
• Research and develop sensor technology, robotic testing and validation systems, and AI data analysis to create multi‑variate system models of different processes.
• Present findings at both internal and external meetings and contribute to key strategic documents such as reports and presentations.
• Collaborate with colleagues at all levels and disciplines within the team and the wider organisation, building strong professional relationships.

• Strong relationship building, presentation, and interpersonal skills are essential.
• Experience or strong capability in research and development in sensor technologies, robotics, AI, or related fields.
• Ability to work effectively with multidisciplinary teams.

We offer an excellent benefits package including generous annual leave entitlement, pension scheme, induction and development support, and family‑friendly policies.

LJMU is an equal opportunities employer and welcomes applicants from all backgrounds and communities irrespective of age, transgender status, disability, gender, sexual orientation, ethnicity and religion or belief. All our appointments are made on merit. Please note all of our vacancies will be closed to applications at midnight on the advertised closing date, unless otherwise stated.