Brunel Law School
Research Assistant - 16974
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Job Opportunity at Brunel University
College / Directorate
College of Engineering, Design & Physical Sciences
Full Time / Part Time
Part Time
Posted Date
04/09/2026
Closing Date
01/10/2026
Ref No
5211
Location
Brunel University London, Uxbridge Campus
Salary
Grade R1 from: £37,118 to £39,144 per annum inclusive of London Weighting with potential to progress to £40,202 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)
Hours
Part-time at 25.31 hours per week
Contract Type
Fixed-term for 6 months
About the Role
You will join the Brunel Digital Manufacturing Research Centre, Department of Engineering, College of Engineering, Design and Physical Sciences at Brunel University.
SME manufacturers lose between 2% and 5% of output through scrap and rework, driving unnecessary material consumption, machine hours, and energy use. The Lean Optimal feasibility study will investigate whether a simple, affordable and scalable predictive system can help SMEs identify this drift by making use of the production data they already collect.
The project explores an approach that combines lightweight AI-assisted modelling, drift detection and basic self-learning behaviour with operator guidance. The aim is not to build a full system but to establish whether predictive insight, early warnings and actionable recommendations can be generated within the constraints of real SME environments. This includes assessing data readiness, understanding operational workflows and determining how predictions and guidance can be presented in a form that supports decision making without disrupting production.
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The concept builds on earlier research from the Factory of the Future programme, where predictive modelling, integrated information systems and automated warning mechanisms formed the basis of the Lean Optimal philosophy.
Responsibilities
- Support the existing research team to finalise the models and code the solution into a software application.
- Provide appropriate advice to staff and students on their research area or research methodologies.
- Conduct further testing and validation of models.
- Develop a concept, apply the design methodologies, implementation, testing, validation, and verification.
- Write scientific and technical reports.
Requirements
- At least 5 years of experience working in R&D and/or industrial set up to support the design and development of advanced data acquisition, analytics and predictive modelling using novel AI and Machine Learning techniques for optimising manufacturing processes with lean objectives.
- Educational background in areas such as Electronics, Computer Science, Applied Mathematics, Manufacturing Systems with Machine Learning-Data Analytics orientation.
- Strong computation and software development, mathematical and analytical skills.
- Strong Communication and Writing Skills.
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Effective Behaviours
- Timeliness
- Meeting Deadlines
- Communication and Networking
- Networking group across colleges
- Ability to negotiate and influence
- Ability to plan and organise own workload
- Ability to adapt to a flexible approach to the demands of a busy college/department in order to accommodate changes in priorities when required
Closing Date
1 October 2026
Apply
To apply please visit https://careers.brunel.ac.uk
Brunel University London has a strong commitment to equality, diversity and inclusion.
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