PhD Studentship in Aeronautics: Generative Neural-Operator Surrogates for Real-Time Multiphysics Design (AE0094)
Overview
This doctoral opportunity addresses a key engineering challenge by combining generative models with neural operators to create a closed-loop system for real-time multiphysics design. Traditional engineering design suffers from a bottleneck where evaluating physical performance takes significantly longer than generating candidate geometries. This project focuses on overcoming that limitation by developing a system that allows designers to generate, evaluate, and refine components in real time. The research has direct applications in multifunctional lightweight parts, thermal management, and electromagnetic components. The fixed-term project spans three and a half years with a start date scheduled between 1st August 2027 and 1st July 2028.
What you get
The studentship provides full coverage of tuition fees alongside an annual tax-free stipend of £23,805. This funding is available to Home, EU, and International students. Researchers will work in a dynamic, intellectually stimulating environment under the supervision of Dr. Ajit Panesar and Prof. Rob Hewson, whose combined expertise covers generative design, structural metamaterials, engineering optimisation, and scientific machine learning.
Requirements
Applicants are expected to have achieved or be on track to achieve a First class honours MEng/MSci or higher degree, or an international equivalent. This academic background must be in Aeronautics or Mechanical Engineering.
Key dates
The closing date for applications is 4th January 2027, with the deadline set at 23:59 UK time on that date. The start date for the position falls between 1st August 2027 and 1st July 2028.
About Imperial College London
Imperial College London is a public research university in London, England, focused on science, technology, medicine and business. It was established in 1907 by Royal Charter, which brought together the Royal College of Science and the Royal School of Mines. Its main campus is in South Kensington, with further campuses at White City and Silwood Park. It is organised into faculties of engineering, medicine, natural sciences and business.
Official website · Source: Wikipedia
Links in this posting
- You will be supervised by Dr. Ajit Panesar and Prof. Rob Hewson, whose complementary expertise spans generative design, engineering optimisation, structural metamaterials and scientific ML, and you'll be working alongside a talented group of researchers in a dynamic, intellectually stimulating environment.
- You will be supervised by Dr. Ajit Panesar and Prof. Rob Hewson, whose complementary expertise spans generative design, engineering optimisation, structural metamaterials and scientific ML, and you'll be working alongside a talented group of researchers in a dynamic, intellectually stimulating environment.
- You will be supervised by Dr. Ajit Panesar and Prof. Rob Hewson, whose complementary expertise spans generative design, engineering optimisation, structural metamaterials and scientific ML, and you'll be working alongside a talented group of researchers in a dynamic, intellectually stimulating environment.
- You will be supervised by Dr. Ajit Panesar and Prof. Rob Hewson, whose complementary expertise spans generative design, engineering optimisation, structural metamaterials and scientific ML, and you'll be working alongside a talented group of researchers in a dynamic, intellectually stimulating environment.
- Funding: Full coverage of tuition fees and an annual tax-free stipend of £23,805 for Home, EU and International students. Find out more about fee status
- How to apply: Visit Generative Neural-Operator Surrogates for Real-Time Multiphysics Design for important instructions on how to apply.
- Contact: For more specific project information, email: Dr. Ajit Panesar
- For questions about the application process, please first read our Frequently Asked Questions. If your question has not been answered, please email the PhD Administrator (Admissions)
- For questions about the application process, please first read our Frequently Asked Questions. If your question has not been answered, please email the PhD Administrator (Admissions)
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