PhD Position in Nuclear Engineering (University of Nottingham)

Area: Engineering Location: UK Other Closing Date: Monday 28 December 2026 Reference: ENG417 Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop a modelling approach for nuclear fusion plant maintenance and decommissioning processes More than 80% of the world’s energy still comes from fossil fuels. Climate change and diminishing fuel reserves mean that it is becoming essential to find alternative, sustainable technologies to supply a growing global population. With no greenhouse gas emissions, inherent safety features and virtually limitless fuels, nuclear fusion has a key role to play in the energy market of the future. Major projects, like ITER in France and STEP in the UK, are providing potential avenues for solutions of this clean, abundant, and safe energy. Robotics and remotely operated tools are a fundamental part of operating fusion power plants, therefore, a fusion power plant must be designed to be inspected, maintained, and upgraded remotely using robots. This exciting project will focus on different qualitative and quantitative risk assessment techniques, considering their suitability for risk analysis of the robotics-based maintenance and/or decommissioning of a nuclear fusion plant. System failure modes and contributing elements in success of a mission will be identified and analysed, followed by modelling a variety of threats and their effects on the mission, as well process recovery and restoration under uncertainty. Summary Open to UK/EU/overseas students. Look for funding sources at: https://www.nottingham.ac.uk/pgstudy/funding/postgraduate-funding.aspx Entry Requirements Starting October 2027, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). How to Apply To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please email Rasa Remenyte-Prescott (r.remenyte-prescott@nottingham.ac.uk) This position is open until filled. Early application is strongly encouraged. View All Vacancies If you apply for this position please say you saw it on Academicoxy

Area:
Engineering

Location:
UK Other

Closing Date:
Monday 28 December 2026

Reference:
ENG417

Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering)

Aim: To develop a modelling approach for nuclear fusion plant maintenance and decommissioning processes

More than 80% of the world’s energy still comes from fossil fuels. Climate change and diminishing fuel reserves mean that it is becoming essential to find alternative, sustainable technologies to supply a growing global population. With no greenhouse gas emissions, inherent safety features and virtually limitless fuels, nuclear fusion has a key role to play in the energy market of the future. Major projects, like ITER in France and STEP in the UK, are providing potential avenues for solutions of this clean, abundant, and safe energy. Robotics and remotely operated tools are a fundamental part of operating fusion power plants, therefore, a fusion power plant must be designed to be inspected, maintained, and upgraded remotely using robots.

This exciting project will focus on different qualitative and quantitative risk assessment techniques, considering their suitability for risk analysis of the robotics-based maintenance and/or decommissioning of a nuclear fusion plant. System failure modes and contributing elements in success of a mission will be identified and analysed, followed by modelling a variety of threats and their effects on the mission, as well process recovery and restoration under uncertainty.

Summary

Open to UK/EU/overseas students. Look for funding sources at:

https://www.nottingham.ac.uk/pgstudy/funding/postgraduate-funding.aspx

Entry Requirements

Starting October 2027, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered).