Part-Time Research Assistant: Lean Manufacturing AI

Brunel University; Greater London; On-site; GBP 37,000 - 39,000; Part time

Job summary

Brunel University London seeks a part-time Research Assistant to support the Lean Optimal feasibility study within the Digital Manufacturing Research Centre. The role focuses on developing AI-assisted predictive modelling using data from SMEs, with a view to creating actionable guidance without disrupting production.

The position runs for six months at 25.31 hours per week, with a salary that reflects London weighting for a Grade R1 level, pro-rated for part-time work.

Qualifications

• Background in Electronics, Computer Science, Applied Mathematics or Manufacturing Systems with ML-Data Analytics orientation.
• Experience in R&D or industrial settings supporting design and development of data acquisition, analytics and predictive modelling.

Responsibilities

• Join Brunel Digital Manufacturing Research Centre, Department of Engineering, College of Engineering, Design and Physical Sciences.
• Support Lean Optimal feasibility study to determine if predictive insights and recommendations can be generated within SME environments.
• Code the solution into an integrated software application and contribute to a peer-reviewed publication.

Skills

Data analytics

Machine Learning

AI modelling

Software development

Education

Electronics

Computer Science

Applied Mathematics

Manufacturing Systems

Tools

Predictive modelling

Job description

Brunel University London seeks a part-time Research Assistant to support the Lean Optimal feasibility study within the Digital Manufacturing Research Centre. The role focuses on developing AI-assisted predictive modelling using data from SMEs, with a view to creating actionable guidance without disrupting production.

The position runs for six months at 25.31 hours per week, with a salary that reflects London weighting for a Grade R1 level, pro-rated for part-time work.