PhD in Sustainable Aviation Fuels: Heat Transfer & ML

University of Nottingham; Nottingham; On-site; GBP 22,000 - 26,000; Full time

Job summary

The University of Nottingham invites applications for a PhD studentship in partnership with Airbus to address key challenges in enabling sustainable aviation fuels by understanding thermophysical and thermochemical behavior across conditions typical of fuel systems. The research will combine computational, analytical, and machine learning approaches to model heat transfer and fuel chemistry.

There may be experimental validation and collaboration with industry, including time spent at the Airbus

Qualifications

• Degree requirement: high 2:1 or 1st class honours in chemical, mechanical or aerospace engineering or related field.
• Good knowledge/experience in heat transfer is essential.
• Prior experience in CFD, chemistry, ML, or computational heat transfer is advantageous.

Responsibilities

• Model heat transfer and fuel chemistry using computational, analytical and ML approaches.
• Collaborate with Airbus and university teams; contribute to validation datasets and experiments when appropriate.
• Publish findings and contribute to the path toward net-zero aviation fuels.

Skills

Heat transfer

Computational methods

Machine learning

Team collaboration

Education

2:1 or 1st in engineering/chemistry/computer science

Job description

The University of Nottingham invites applications for a PhD studentship in partnership with Airbus to address key challenges in enabling sustainable aviation fuels by understanding thermophysical and thermochemical behavior across conditions typical of fuel systems. The research will combine computational, analytical, and machine learning approaches to model heat transfer and fuel chemistry.

There may be experimental validation and collaboration with industry, including time spent at the Airbus