Publisher
source

University of Southampton

Top university

Just Landed

PhD in Optimized Vertical-Axis Wind Turbine Arrays via Surrogate Modelling and Topology Optimization University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full scholarship includes tuition fees and a tax-free stipend at the UKRI rate for up to 3.5 years, totalling £20,780 for 2025/26 and rising annually. UK, EU and Horizon Europe students are eligible for scholarships. Chinese Scholarship Council funded students are eligible for fee waivers. Funding for other international applicants is very limited and highly competitive; overseas students with external funding are welcome to apply.

Country flag

Country

United Kingdom

University

University of Southampton

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Mathematics
Mathematical Modeling
Fluid Mechanics
Structural Engineering
Surrogate Modeling
Physics
Applied Mathematic

Suggested positions

About this position

PhD opportunity at the University of Southampton in the Faculty of Engineering and Physical Sciences on optimized vertical-axis wind turbine (VAWT) arrays, combining surrogate modelling, topology optimization, fluid mechanics, and mathematical modelling.

The project aims to develop a multi-scale optimization framework to design VAWTs specifically for array performance, rather than optimizing a single turbine and then placing it in a farm. The research focuses on improving urban wind farm viability by creating hybrid turbine shapes that exploit both lift and drag effects, with potential benefits for low-noise renewable energy systems.

Applicants should have a UK 2:1 honours degree or equivalent in mechanical engineering, mathematics, physics, computer science, or a related field. Essential skills include proficiency in MATLAB, Python, or another scientific computing language, plus the ability to work independently and collaboratively. An interest in rigorous scientific research and high-impact engineering solutions is emphasized.

Funding is described as a full scholarship covering tuition fees and a tax-free stipend at the UKRI rate for up to 3.5 years. UK, EU, and Horizon Europe students are eligible for scholarships; Chinese Scholarship Council funded students may receive fee waivers. Overseas applicants with external funding may also apply, though funding for other international applicants is limited and competitive.

Applications are accepted all year round. To apply, choose programme type Research for 2026/27, select the Faculty of Engineering and Physical Sciences, choose full-time or part-time, search for PhD Engineering & the Environment (7175), and add the supervisor name in section 2. Required documents include a CV, two academic references, degree transcripts/certificates, and an English language qualification if applicable.

Supervisor: Dr. Haris Moazam Sheikh ([email protected]).

Funding details

Full scholarship includes tuition fees and a tax-free stipend at the UKRI rate for up to 3.5 years, totalling £20,780 for 2025/26 and rising annually. UK, EU and Horizon Europe students are eligible for scholarships. Chinese Scholarship Council funded students are eligible for fee waivers. Funding for other international applicants is very limited and highly competitive; overseas students with external funding are welcome to apply.

What's required

A UK 2:1 honours degree or international equivalent in mechanical engineering, mathematics, physics, computer sciences, or a related field. Applicants should have proficiency in at least one high-level scientific computing language such as MATLAB or Python, and be able to conduct research independently and collaboratively. A strong interest in scientific problem-solving and high-impact research is expected. English language qualification is required if applicable.

How to apply

Apply online and choose programme type Research for 2026/27 in the Faculty of Engineering and Physical Sciences. Select full time or part time, search for PhD Engineering & the Environment (7175), and add the supervisor name in section 2. Submit a CV, two academic references, degree transcripts and certificates, and an English language qualification if applicable.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?