Postdoctoral Research Associate

Royal College of Art; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

The Royal College of Art seeks a Senior/Postdoctoral Research Associate to advance the Circular Robot 5.0 project. This role involves developing innovative solutions in robotics and AI. You will collaborate with leading academic institutions and industry partners, contributing to impactful research with publication opportunities.

Ideal candidates hold a PhD (or equivalent) in a relevant field and possess strong skills in robotics and AI. You'll work in a unique environment fostering transformative research, engaging closely with staff and students. Apply your expertise to shape sustainable automation practices.

Qualifications

• Experience in artificial intelligence for robotics and hardware/software integration.
• Demonstrable skills in testing and validation of results.
• Evidence of producing quality research outputs relevant to the career stage.

Responsibilities

• Develop blockchain-enabled digital passports for industrial robots.
• Design predictive maintenance systems using AI.
• Lead system integration and validation with consortium partners.

Skills

Robotics

Artificial Intelligence

Software Engineering

Cloud Computing

Communication

Teamwork

Problem-Solving

Education

PhD or equivalent experience in a relevant field

Job description

The Royal College of Art (RCA) is seeking an outstanding Senior/Postdoctoral Research Associate (PDRA) to join the RCA Robotics Laboratory in the School of Design. This role is part of the Circular Robot 5.0 project, an ambitious, EPSRC-funded initiative led by Dr. Sina Sareh, Academic Leader in Robotics. The project is in partnership with Manufacturing Technology Centre (MTC), King’s College London, Loughborough University, and University College London. Industrial Partners include Nvidia, Omron, Amentum, ASTM International and Katlas Technology Ltd.

We are looking for a highly skilled researcher with expertise in robotics, AI, software engineering, or computer science, passionate about applying advanced technologies to sustainable manufacturing.

About the Role

You will play a key role in research, development, and integration within the Circular Robot 5.0 consortium. Responsibilities include:

• Developing blockchain-enabled digital passports for industrial robots
• Designing predictive maintenance systems using AI
• Leading system integration and validation with consortium partners

You will collaborate closely with RCA staff, PhD students, and external partners, contributing to cutting‑edge, design‑led robotics innovation. Outputs are expected to be published in high-impact robotics and design journals and conferences.

• PhD (or equivalent experience/Masters with significant research background) in a relevant field.
• Demonstrable skills and relevant subject knowledge in artificial intelligence for robotics, cloud computing, hardware and software integration, testing and validation of results.
• Evidence of producing quality research outputs relevant to the career stage and discipline.
• Ability and willingness to work regularly on campus to support hands‑on research and relevant laboratory activities.
• Be aware of the risks in the robotics laboratory environment and relevant Health & Safety issues.
• Willingness to travel to attend conferences and meetings within and outside the UK.
• Experience with collaborative research, ideally involving HE/industry partners.
• Excellent communication, teamwork, and problem‑solving skills.

Why RCA?

Join a globally renowned institution that fosters radical, interdisciplinary research. The RCA Robotics Lab offers a unique, design‑led environment for transformative research in robotics and AI.

To Apply

Submit your CV and cover letter, and one recent publication via the RCA recruitment portal.

For informal enquiries, contact Dr. Sina Sareh at [e-mail].

Applications close at 11.59pm on Sunday 14 June 2026

See Information Pack for more details of this exciting new role.

Help us shape the future of intelligent, sustainable automation.