Research Assistant in AI-Based Aerospace System Design and Optimization

Fixed Term Contract for 30 months

Full time starting salary is normally in the range of £32,039 per annum

Location: Cranfield, Bedfordshire

We welcome applications from prospective Research Assistants in AI-Based Aerospace System Design and Optimization with relevant knowledge and experience, to work on various industrial and research agency funded projects.

About the Role

Cranfield University has been awarded several prestigious research grants on AI-Based Design and Optimization of Aerospace Subsystems including fuel gauging systems. The projects cover defining and optimizing aircraft fuel tank geometries and sensor placement. This involves creating mathematical models and geometric optimization algorithms, leveraging AI and genetic algorithms to enhance sensor integration efficiency. Tasks include validating these models and algorithms against various operational conditions and developing an AI-driven "Gauge Solver" tool for broader subsystem integration and optimization. Collaboration with Airbus for inputs on operational parameters is also a key component of the work. 

About You

You will be educated to MSc level and have experience and expertise, including AI implementations for design and optimization of aerospace systems. You will possess outstanding communication skills and a demonstrated record of publications in the design, development, and coding of AI-based software for aerospace systems. You are expected to have a well-documented track record of research outputs, evidenced through projects and publications. Practical experience in aerospace systems modeling, proficiency in Python, and the use of AI tools are fundamental aspects of your role.

Additionally, you are expected to have exemplary presentation and communication skills, capable of engaging with a variety of customer groups, including students, industrial stakeholders, and research collaborators. You should be adept at interacting effectively with senior technical staff and collaborating with colleagues in an academic research setting.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. 

Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace. Cranfield Aerospace’s six centres are the powerhouses of our world class research, driving technological and conceptual advances in aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway. Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space. Find out more about our work here About Aerospace. Our reputation for leading in the field of autonomy and AI, advanced air mobility, ATM/UTM, autonomous vehicle systems, applied artificial intelligence and control engineering has been established through more than thirty years of research into this field.

How to apply                                     

For an informal discussion about this opportunity, please contact Inalhan, Professor Gokhan, Professor of Autonomous Systems and Artificial Intelligence Inalhan@cranfield.ac.uk.

To apply please click above 'Apply' Button. Please do not hesitate to contact us for further details on E: hrrecruitment@cranfield.ac.uk. Please quote reference number 4826.

Closing date for receipt of applications: 02 June 2024

Advert information