PhD Studentship in Industrial Engineering

University of Nottingham

Vacancy Details

Area: Engineering
Location: UK (Other)
Closing Date: Thursday 12 March 2026
Reference: ENG299

Supervisor:
Dr Rasa Remenyte-Prescott
Faculty of Engineering, Resilience Engineering Research Group

Project Aim

To develop a comprehensive railway network delay propagation model capable of addressing a wide range of disruptions and response strategies.

Background

The railway network in the United Kingdom is both complex and extensive. In 2024, it recorded approximately 1.7 billion passenger journeys, equating to around 4.8 million train movements per day—a 9% increase on the previous year. This growth highlights the critical role of rail in national mobility and the increasing pressure placed on infrastructure and operations.

Despite carefully designed and monitored timetables, disruptions occur unexpectedly, often triggered by infrastructure failures, human error, or external factors. Given the high level of network congestion, a single incident can propagate delays widely across the system. Timely and effective intervention is therefore essential to mitigate reactionary delay and maintain network resilience.

Proposed Project

This 3.5-year PhD project aims to develop a comprehensive railway network delay propagation model capable of addressing a wide range of disruptions and response strategies.

The project will deliver robust modelling frameworks and analytical techniques to support operational decision-making and maintain required network performance. A key focus will be on modelling the effects of disruptions and the spread of delays, which will underpin a multi-objective optimisation approach for enhancing network resilience and efficiency.

Benefits of Joining This Project

• Opportunity to explore railway system modelling in collaboration with an industrial partner
• Hands-on experience in railway network management and digital railway research
• Exposure to real-world operational challenges and impactful applied research
• Close engagement with industry to translate research outcomes into practice

Funding and Support

The studentship includes:

• UK / Home PhD tuition fees
• Tax-free stipend for 3.5 years, starting at £22,000 per annum
• Travel and consumables allowance

Entry Requirements

Applicants should:

• Hold (or expect to hold) a 1st class degree in engineering, mathematics, or a relevant discipline
• Preferably have a Master’s degree
• In exceptional circumstances, a 2:1 degree may be considered
• Be available to start in October 2026

How to Apply

To apply, please visit the University of Nottingham vacancies page and search for Reference ENG299.

For enquiries about the project or funding, please contact:

Dr Rasa Remenyte-Prescott
r.remenyte-prescott@nottingham.ac.uk

Additional Information

• This studentship is open until filled
• Early application is strongly encouraged

Apply