Research Associate in Digital Twins for Transport
Develop connected digital twins and edge computing frameworks for intelligent transport and supply chain systems.
Best for:Best for computer science researchers with expertise in distributed systems, machine learning, and digital twins.
Overview
Loughborough University's Department of Computer Science is seeking a full-time Research Associate to contribute to the international VISION project funded by Innovate UK. The appointee will research and develop connected intelligent supply chain management systems built around real-time digital twins of vehicles, materials, and logistics assets. Working alongside Professor Posco Tso and international academic and industry partners, the researcher will formulate data models, networking frameworks, and edge computing solutions. The role requires strong programming abilities, sound knowledge of AI, machine learning, and distributed systems, and a commitment to advancing sustainable, low-latency transport technologies.
What you'll do
- Design and develop data models and networking frameworks to connect multiple digital twins across supply chains
- Implement edge computing solutions for real-time, low-latency operations in transport and logistics
- Collaborate closely with academic and industrial partners from the UK, Spain, Türkiye, and South Korea
- Conduct cutting-edge research in artificial intelligence, machine learning, and distributed computing
- Publish original research findings in competitive academic venues and high-impact journals
- Contribute to project deliverables and participate in regular team meetings and consortium activities
Requirements
Degree required: PhD (or near completion) in Computer Science or a related discipline
Language: English
Instruction: English
Publications: Experience of publishing original research; a strong publication record in competitive venues is preferred.
- Sound knowledge of artificial intelligence and machine learning
- Proficiency in computer networking and distributed systems
- Good programming skills suitable for systems and application development
- Demonstrated experience in publishing original research
Funding & terms
How to apply
Deadline: 2026-11-15
Applicants should review the job description and person specification and submit their application through the university's online recruitment portal by the specified deadline. Informal enquiries can be directed to Professor Posco Tso via email.
- CV
- Job application via recruitment portal
Contact
Posco Tso· Professor
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