
Reinforcement Learning for Autonomous (De)(Re)Manufacturing of High-Value Products
Loughborough UniversityLoughborough, United Kingdom
Course overview
The ‘what’ This PhD will develop reinforcement learning (RL) methods to enable robots to autonomously disassemble, repair, and remanufacture high-value products such as aerospace components, automotive systems, and electronics. The ‘why’ High-value products are often discarded or underutilised at end-of-life due to the complexity and cost of disassembly and remanufacturing. These processes are typically manual, requiring skilled operators to deal with variability, uncertainty, and incomplete information (e.g. unknown wear, hidden fasteners, or damage).
Advancing autonomous (de)(re)manufacturing is critical for enabling a circular economy, reducing waste, and lowering carbon emissions. Reinforcement learning offers a promising route to equip robots with the ability to learn adaptive strategies for complex, sequential tasks under uncertainty. This project addresses a key challenge: how to make RL robust, safe, and data-efficient enough for real-world remanufacturing applications.
The ‘who’ You will be based at Loughborough University, working within a multidisciplinary team spanning robotics, artificial intelligence, and advanced manufacturing. Supervision will include experts in reinforcement learning, robotic manipulation, and sustainable manufacturing, with collaboration opportunities across UK research partners. Industry engagement and sponsorship The project will engage with industrial stakeholders in aerospace, automotive, and remanufacturing sectors, providing real-world components, use cases, and validation scenarios.
Opportunities for industrial placements or secondments will be available, ensuring strong alignment with industry needs. Aims and objectives Methodology (overview) The project will combine AI, robotics, and experimental validation: Skills and development You will gain expertise in: You will also develop transferable skills in interdisciplinary research, critical thinking, and collaboration with industry. Career pathways This PhD will prepare you for careers in: Why Loughborough Loughborough University provides a world-leading environment in manufacturing, robotics, and sustainability research.
You will benefit from: 94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021
Key highlights
- Develops reinforcement learning for robotic disassembly, repair and remanufacturing
- Works with aerospace, automotive and electronics components
- Industrial placements or secondments available with sector stakeholders
- Real-world components, use cases and validation scenarios from industry
- Multidisciplinary supervision spanning robotics, AI and sustainable manufacturing
- Collaboration opportunities across UK research partners
Entry requirements
- Degree: 2:1 — or above
Scholarships
Alumni Bursary
10% of tuition fees which will be credited to the student’s tuition fee account.
Up to 10% of feesAlumni Discount
UK students: £1,500 tuition fee discount for one academic year. International students: £3,000 tuition fee discount for one academic year.
Care Leaver's Scholarship
Excellence Scholarships
UK students: £3,000 off tuition fees; International students: £6,000 off tuition fees which will be credited to the student’s tuition fee account.
International Sports Student Postgraduate Bursary
Our International Sports Student Postgraduate Bursary offers a £12,000 tuition fee discount (set against the tuition fees of your chosen postgraduate taught programme ONLY).
Up to £12,000London 10th Anniversary Award
£5,000 off tuition fees.
Up to £5,000Loughborough Business School Scholarship
£1,500 (UK students) and £3,000 (international students) off tuition fees which will be credited to the student’s tuition fee account.
MBA Progress with Purpose Scholarship
50% of tuition fees which will be credited to the student’s tuition fee account.
Up to 50% of feesQatari Ghanim Al-Muftah Excellence Scholarship
Careers this course leads to
- Robotics research scientist
- Machine learning engineer
- Reinforcement learning researcher
- Autonomous systems engineer
- Advanced manufacturing engineer
- Postdoctoral research associate
Cost of study
UK/Home: £5,238 | International: £29,500
Admission
Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Loughborough University, and guide you through interview, offer, CAS and visa — right up to enrolment.
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