Senior Research Associate

Job reference REQ
260348

Date posted 02/06/2026

Final date to receive applications 18/06/2026

Location Loughborough

Package Specialist and Supporting Academic Research grade 7 from £47389

Job description

Senior Research Associate –AdvancedAIModelsand

Optimisation Algorithms for Supply Chain Planning and Scheduling

Business School

Full Time and Fixed Term for 9 months (Subject to Funding)

About the University

Universities are one of this country’s greatest assets. We’re educators, employers, innovators and pioneers. We shape culture and society.

At Loughborough, we strive for better, think differently, challenge convention and take action. We are passionate about finding solutions to the major problems faced by society and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better.

About Loughborough Business School

We are a vibrant,research‑ledschool witha strong reputation for academic excellence,real‑worldimpact and an inclusive, collaborative culture. It is among an elite global group of business schools to hold triple accreditation from AACSB, EQUIS and AMBA, and was named a PRME Champion (2024–2025) for its leadership in responsible management education. The School also holds Small Business Charter accreditation and a Bronze Athena Swan Award, reflecting its commitment to entrepreneurship,equalityand positive societal impact, and offers a supportive and forward‑lookingenvironment in which staff and students can thrive.

Here’s more about the role and what we’re looking for:

This project,Smart Slots:

AI-Native Factory Scheduling for SMEs, is based at Loughborough Business School and addresses the challenge of helping manufacturers meet the UK’s Net Zero 2050 commitment while improving productivity and reducing waste. Funded by Innovate UK, the project is led by Dr Kamran Ali Chatha,Dr Grammatoula Papaioannouand Professor Jan Godsell,working in close collaboration with an industrial technology partner specialising in supply chain planning and manufacturing decision‑support software, alongside a network of SME manufacturing collaborators.

The project aims to developadvancedAI(machine learning,generative AI, LLMs, and agentic AI) based modelsandoptimization algorithms that integrate carbon and productivityobjectivesinto factory planning and scheduling. Thepost holder will be an integral member of the project team, contributing to developing AI based solutions, analytical modelling, and optimisation methods, and software development, while working closely with academic colleagues and industry partners to ensure practical relevance and impact for SMEs.

The post holder will develop,analyse and implement solutions, using machine learning,generative AI, LLMs, and agentic AI andoptimisationmodelsfor production and supply chain planning in SMEs, with a particular focus on their integration into the software products of an industry technology partner. They will work closely with academic and industry collaborators to ensuremodelsare robust,usableand aligned withreal‑worldmanufacturing contexts.

If this sounds like the right place, team and role for you please do get in touch. We’d love to hear from you.

Informal enquiries should be directed to Dr Grammatoula Papaioannou at  or Dr Kamran Ali Chatha at

For more information refer to the Job Description and Person Specification.

Application Process

For further support with your application, please refer to our application guidance, which includes some top tips to help you when completing your application.

We are happy to consider any reasonable adjustments that candidates may need during the recruitment process. If there are additional adjustments, you’d like to request please contact Professor Shahin Rahimifard. We also offer reasonable adjustments on the job.

Closing Date: 18 June 2026

Interview Date: 29 June 2026

Our Benefits

At Loughborough, our benefits are designed to support your life inside and outside of work, helping you to thrive and feel valued as part of our community. Examples of our benefits include:

Time off - generous holiday allowance, including 14 university closure days and bank…