Lecturer in Digital Engineering for Fusion Energy
Join The University of Manchester as a Lecturer in Digital Engineering for Fusion Energy to advance research and teaching in computational tools for fusion challenges.
Best for:Best for experienced engineers or researchers with a PhD in engineering, physics, or mathematics, specializing in computational modelling, AI, or high-performance computing for fusion energy applications.
Overview
The University of Manchester is seeking a Lecturer in Digital Engineering for Fusion Energy within the Department of Mechanical and Aerospace Engineering. This role focuses on driving cutting-edge research and teaching in digital engineering solutions for fusion energy, including multiphysics modelling, digital twins, high-performance computing, and AI/machine learning. The successful candidate will develop computational tools to address critical engineering challenges in fusion in-vessel components, safety, and licensing. Additionally, the role involves teaching at both undergraduate and postgraduate levels, embedding sustainability and social responsibility in academic practice. This position is ideal for an engineer or scientist with a strong background in computational methods and a passion for advancing fusion energy technology.
What you'll do
- Develop and deliver internationally excellent research in multiphysics modelling and simulation of fusion in-vessel components, including breeder blankets, first walls, and divertors.
- Design and implement digital twins, high-performance computing systems, and AI/machine learning tools for fusion design and operational optimization.
- Conduct verification, validation, and uncertainty quantification for fusion safety and licensing compliance.
- Create computational engineering tools for fusion materials modelling and structural integrity assessment.
- Teach and supervise undergraduate and postgraduate courses in modelling, simulation, mechanics, and engineering design.
- Embed social responsibility and environmental sustainability principles into teaching and research practices.
- Collaborate with academic researchers and establish industry partnerships relevant to fusion or nuclear energy sectors.
Requirements
Degree required: PhD or equivalent in engineering, mathematics, or physics, closely linked to digital engineering for fusion energy
Language: English proficiency at a level suitable for academic teaching and research
Instruction: English
- Proven research experience in digital engineering for fusion energy, including multiphysics modelling or simulation
- Strong background in computational methods, high-performance computing, or AI/machine learning
- Experience in developing and applying computational engineering tools
- Excellent communication skills and ability to collaborate with academic researchers
- Commitment to fostering an inclusive, equal, and fair working environment
Funding & terms
How to apply
Deadline: 2026-10-31
Applicants should submit their CV, cover letter, and any relevant supporting documents through the University of Manchester’s job application portal. Ensure your application highlights your research experience, teaching qualifications, and alignment with the role’s responsibilities.
- CV
- Cover letter
- Research statement or publication list
- Transcripts or proof of PhD degree
- Two to three reference letters
Contact
Lee Margetts· Recruitment Contact
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