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University of Southampton

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PhD in Investigating Surface Textures to Optimize Flow Dynamics Using Multi-Fidelity Surrogate Modeling University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition Funded PhD Project (Students Worldwide). Funding opportunities are available for UK and international students. Horizon Europe fee waivers may cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries may cover the difference between overseas and UK fees for top-ranked applicants. School studentships typically cover UK-level tuition fees plus a stipend for living costs for top-ranked applicants.

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United Kingdom

University

University of Southampton

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Keywords

Computer Science
Mechanical Engineering
Mathematics
Fluid Mechanics
Computational Mathematics
Shape Optimization
Drag Reduction
Physics

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About this position

PhD opportunity at the University of Southampton in the Faculty of Engineering and Physical Sciences on investigating surface textures to optimize flow dynamics using multi-fidelity surrogate modeling.

This project focuses on fluid mechanics, mechanical engineering, mathematical modelling, computational mathematics, and energy technologies. The research aims to develop a multi-scale surrogate modeling framework to optimize passive surface textures such as dimples for maximum fluid drag reduction. The work combines shape optimization, data-driven methods, and flow physics to better understand turbulent boundary layers and passive flow control for transportation applications.

The project is supervised by Dr Haris Moazam Sheikh. The group works on data-driven topology and optimization methodologies for real-world engineering problems, and the university highlights access to strong HPC and experimental facilities.

Funding: This is a competition funded PhD project open to students worldwide. Funding may include UK-level tuition fees and a stipend for living costs for top-ranked applicants. The post also mentions Horizon Europe fee waivers and Presidential Bursaries that can cover the difference between overseas and UK fees for qualifying or top-ranked applicants.

Eligibility: Applicants should have a UK 2:1 honours degree or equivalent in mechanical engineering, mathematics, physics, computer sciences, or a related field. Strong scientific computing skills in MATLAB, Python, or similar are preferred, along with the ability to work independently and collaboratively.

How to apply: Apply through the University of Southampton portal, selecting Research, 2026/27, Faculty of Engineering and Physical Sciences, and programme PhD Engineering & the Environment (7175). Include your CV, two academic references, transcripts/certificates, and English language evidence if needed. Add the supervisor name in section 2 and contact Dr Haris Moazam Sheikh for an initial conversation if interested.

Location: Southampton, United Kingdom.

Funding details

Competition Funded PhD Project (Students Worldwide). Funding opportunities are available for UK and international students. Horizon Europe fee waivers may cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries may cover the difference between overseas and UK fees for top-ranked applicants. School studentships typically cover UK-level tuition fees plus a stipend for living costs for top-ranked applicants.

What's required

Applicants must have a UK 2:1 honours degree or international equivalent in mechanical engineering, mathematics, physics, computer sciences, or a related field. Strong proficiency in at least one high-level scientific computing language such as MATLAB or Python is preferred, along with the ability to conduct research independently and collaboratively and a strong motivation for rigorous, high-impact research. English language qualification is required if applicable.

How to apply

Apply online through the University of Southampton application portal. Choose programme type Research, select 2026/27 and the Faculty of Engineering and Physical Sciences, then choose full time or part time and search for PhD Engineering & the Environment (7175). Add the supervisor name in section 2 of the application. Prepare a CV, two academic references, transcripts/certificates, and an English language qualification if applicable. You may also contact Dr Haris Moazam Sheikh for an initial co

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