Research Assistant in ML Technologies and Modelling for Aerospace Systems

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 ML Technologies and Modelling for Aerospace Systems with relevant knowledge and experience, to work on various industrial and research agency funded projects.

About the Role

The project aims to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve accuracy for two different fuel tank types. Collaborating with Airbus, the project involves data collection tests under simulated flight conditions for various tank geometries. Test data analysis will refine the models, culminating in a Gauging Algorithm software package to optimize sensor performance and ensure reliability in operational scenarios.   

About You

You will be educated to M.Sc. level and have experience and expertise in aerospace system design, data analysis and ML/AI model implementation. Your expertise should demonstrate a track record of publications in the design, development, and programming of AI-based software for aerospace systems, affirming a significant record of accomplishment. As part of your work, you will apply practical experience with AI software development and toolchains.

You will be expected to meet stringent project deadlines, guaranteeing punctual delivery of high-quality outcomes. Your communication and presentation skills should be outstanding, crafted to resonate with a diverse audience comprising students, industry partners, and research collaborators. Balancing technical proficiency with the expertise and the ability to articulate complex concepts clearly and persuasively.

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 4827. 

Closing date for receipt of applications: 02 June 2024

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