Manchester Metropolitan University
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PhD Studentship in Computational Fluid Dynamics and Physics-Informed Neural Networks Manchester Metropolitan University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Doctoral teaching assistant position combining a PhD with a university teaching contract. Time split is approximately 60% research and 40% teaching. Salary is £31,236 (grade 6) and home PhD tuition fees are covered for the full 6-year award.
Deadline
Oct 4, 2026
Country
United Kingdom
University
Manchester Metropolitan University

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About this position
PhD Studentship at Manchester Metropolitan University, United Kingdom
This PhD project focuses on computational fluid dynamics (CFD), physics-informed neural networks (PINNs), deep learning, numerical modelling, and marine hydrodynamics for offshore renewable energy applications. The project aims to develop a new CFD simulator that is more efficient and robust, using potential flow theory as training data, building a PINN model for water wave interactions with marine structures, and integrating the method into OpenFOAM.
The opportunity is based in an excellent research group with a strong track record in marine hydrodynamics and CFD, including applications in conventional and renewable offshore energy. It is advertised as a doctoral teaching assistant position that combines a PhD programme with a university teaching contract.
Funding: The award is a 6-year position with a current salary of £31,236, split approximately 60% research and 40% teaching. Home PhD tuition fees are covered for the duration of the award. This opportunity is for home students only; applicants must have the right to work in the UK and visa sponsorship is not available.
Eligibility: Applicants should hold a good honours degree or a master’s degree in computer science, mathematics, civil engineering, mechanical engineering, naval architecture, or a related discipline. Strong programming skills, communication, teamwork, and the ability to present research at meetings, conferences, and in journal publications are required. Experience in AI or hydrodynamics and teaching experience are desirable.
How to apply: Complete the online application form for a part-time PhD in Mathematics, fill in the Doctoral Project Applicant Form, and upload your CV and covering letter through the University’s Admissions Portal or send them to [email protected]. Quote the reference: SciEng-DTA Jan 2027-WB- PINN based CFD.
Deadline: 4 October 2026.
Funding details
Doctoral teaching assistant position combining a PhD with a university teaching contract. Time split is approximately 60% research and 40% teaching. Salary is £31,236 (grade 6) and home PhD tuition fees are covered for the full 6-year award.
What's required
Applicants should have a good honours degree or a master’s degree in computer science, mathematics, civil engineering, mechanical engineering, naval architecture, or a relevant discipline. Essential requirements include strong programming skills, excellent communication and teamwork abilities, and the capacity to present research findings at meetings, conferences, and in journal publications. Desirable experience includes artificial intelligence or hydrodynamics and teaching experience. Home students only; applicants must have the right to work in the UK and visa sponsorship is not available.
How to apply
Complete the online application form for a part-time PhD in Mathematics. Fill in the Doctoral Project Applicant Form and upload your CV and covering letter in the University’s Admissions Portal, or email them to [email protected]. Quote reference SciEng-DTA Jan 2027-WB- PINN based CFD.
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