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Research Assistant/ Research Fellow - 17055

  • Uxbridge, ON
  • Hybrid
  • Posted Oct 16, 2026
  • 1 position

£37,810–£53,766 / year

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Employment type
Contract
Experience level
Mid-level · 2+ years
Posting language
English
Working hours
40 hours per week
Seniority
Entry level

Job summary

Conduct original research in adaptive AI and intelligent control, and lead the development and implementation of adaptive control algorithms for the SMART-Engine platform. Develop FPGA solutions, optimise hardware-software integration, coordinate postgraduate researchers’ technical work, and support research teams and engagement with clients or sponsors.

Job details

The SMART – Secure Motor AI-Responsive Technology - Application 10198913 -Response to Assessor Concerns project develops a secure, AI-responsive motor control platform that combines adaptive AI, FPGA-based real-time control, digital twin technologies, and advanced power electronics. Brunel leads the development of embedded adaptive intelligence capable of continuously optimising motor performance under changing operating conditions, delivering improved efficiency, reliability, security, and industrial applicability. College / Directorate College of Engineering, Design & Physical Sciences Posted Date 15/10/2026 Closing Date 29/10/2026 Ref No 5238 Position Title: Research Assistant/ Research Fellow Department/College: College of Engineering, Design, and Physical Sciences / Department of Engineering Location: Brunel University of London, Uxbridge Campus Salary: Grade R1 Research Assistant: from £ 37810 to £ 40956 inclusive of London Weighting. Research Fellow: from £ 42068 to £ 49478 inclusive of London Weighting with the potential to progress to £ 53766 per annum, inclusive of London Weighting, through sustained exceptional contribution (pro-rata if part-time). Hours: Full-time Contract Type: Fixed term for 14 months Brunel University of London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Description Of College/Department Or Aims Of Department The College of Engineering, Design and Physical Sciences at Brunel University of London delivers world-leading research, interdisciplinary innovation, industry engagement, and excellence in engineering, computing, design, mathematics, and physical sciences education. College of Engineering, Design and Physical Sciences | Brunel University of London The SMART – Secure Motor AI-Responsive Technology - Application 10198913 -Response to Assessor Concerns project develops a secure, AI-responsive motor control platform that combines adaptive AI, FPGA-based real-time control, digital twin technologies, and advanced power electronics. Brunel leads the development of embedded adaptive intelligence capable of continuously optimising motor performance under changing operating conditions, delivering improved efficiency, reliability, security, and industrial applicability. The Research Assistant/ Research Fellow is critical to delivering Brunel’s technical leadership within the project. The role strengthens the College’s strategic objectives in AI, digital engineering, and industry-focused innovation by generating high-quality research outputs, supporting postgraduate researchers, enhancing industrial collaboration, developing intellectual property, and creating a platform for future UKRI, Horizon Europe, and industrial funding opportunities. Under Supervision Of The Principal Investigator The Post-holder Will Produce independent original research in adaptive AI and intelligent control systems. Take the initiative in planning and organising research activities. Lead the development and implementation of adaptive control algorithms for the SMART-Engine platform. Develop FPGA-based solutions and optimise hardware-software integration. Coordinate and integrate technical developments produced by project-supported postgraduate researchers. Support the work of small research teams and have direct engagement with clients/sponsors. We offer a generous annual leave package plus discretionary University closure days, excellent training and development opportunities as well as a great occupational pension scheme and a range of health-related support. The University is committed to a hybrid working approach. Closing date for applications: 29 October 2026. For further details about the post including the Job Description and Person Specification and to apply please visit https://careers.brunel.ac.uk If you have any technical issues please contact us at: hrsystems@brunel.ac.uk Brunel University of London is fully committed to creating and sustaining a fully inclusive workforce culture. We welcome applicants from all backgrounds and communities, we particularly welcome applicants who are currently under- represented in our workforce. Documents Research Assistant - Job Description (Word, 855.56kb) Research Fellow - Job Description (Word, 855.66kb) Apply here Send to a Friend

What you’ll do

Conduct original research in adaptive AI and intelligent control, and lead the development and implementation of adaptive control algorithms for the SMART-Engine platform. Develop FPGA solutions, optimise hardware-software integration, coordinate postgraduate researchers’ technical work, and support research teams and engagement with clients or sponsors.

Requirements

The role calls for the ability to conduct independent research, plan and organise research activities, and develop adaptive control algorithms and FPGA-based solutions. It also involves coordinating technical work by postgraduate researchers, supporting small research teams, and engaging directly with clients or sponsors; no specific degree or years of experience are stated.

Benefits

  • Annual Leave
  • University Closure Days
  • Training And Development Opportunities
  • Occupational Pension Scheme
  • Health-Related Support

Listed skills

  • Power Electronics · Preferred
  • Embedded Systems · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Adaptive AI
  • Intelligent Control Systems
  • Adaptive Control Algorithms
  • FPGA Development
  • Hardware-Software Integration
  • Real-Time Control
  • Digital Twin Technologies
  • Power Electronics
  • Embedded Systems
  • Research Planning
  • Technical Coordination
  • Team Support
  • Industrial Collaboration
  • Client Engagement
  • Intellectual Property Development

Job areas

  • Engineering
  • Science & Research
  • Technology
  • Education

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