PhD in Aeronautics: ML-Controlled Reacting-Flow Extremes

Imperial Enterprise; Greater London; Hybrid; GBP 21,000 - 26,000; Full time

Benefits offered by this job

Full tuition fees

Stipend £23,805 (tax-free)

Job summary

Imperial College London invites applications for a PhD project focused on controlling reacting flow extreme events using a differentiable solver and a machine-learning based controller. You will work at the intersection of scientific ML and fluid dynamics, supervised by Dr. Nguyen Anh Khoa Doan.

You will gain expertise in reacting flow physics, ML for fluids, and high-fidelity simulations, with access to cutting-edge facilities and international conference opportunities.

Qualifications

• First class honours degree in Aeronautical/Mechanical Engineering, Applied Mathematics, Computer/Data Science or Physics.
• Experience in fluid mechanics, turbulence, CFD, machine learning and reacting flows.

Responsibilities

• Develop a framework for controlling reacting flow extreme events using a differentiable solver and ML-based controller.
• Apply the framework across various reacting flow applications with novel actuators.
• Collaborate with ML and fluid dynamics experts and utilize Imperial HPC facilities.

Skills

CFD

Machine Learning

Reacting flows

Turbulence

Education

First class honours MEng/MSci or higher

Job description

Imperial College London invites applications for a PhD project focused on controlling reacting flow extreme events using a differentiable solver and a machine-learning based controller. You will work at the intersection of scientific ML and fluid dynamics, supervised by Dr. Nguyen Anh Khoa Doan.

You will gain expertise in reacting flow physics, ML for fluids, and high-fidelity simulations, with access to cutting-edge facilities and international conference opportunities.