Research Assistant in ML Technologies and Modelling for Aerospace Systems

Updated: 2 months ago
Location: Bedford, ENGLAND
Job Type: FullTime
Deadline: 02 Jun 2024

10 May 2024
Job Information

Research Field

Computer science
Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

United Kingdom
Application Deadline

2 Jun 2024 - 00:00 (UTC)
Type of Contract

Job Status

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

School/Department: School of Aerospace, Transport and Manufacturing
Based at: Cranfield Campus, Cranfield, Bedfordshire
Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered.
Contract type: Fixed term contract
Fixed Term Period: For 30 months
Salary: Full time starting salary is normally in the range of £32,039 per annum
Apply by: 02/06/2024

Role Description

Research Assistant in ML Technologies and Modelling for Aerospace Systems  

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.

As a Research Assistant you will contribute to the research activities of the Centre for Autonomous and Cyber-physical Systems, especially concerning the specific projects described above. You will be expected to collaborate with the existing staff working in the area and have communications and meetings with our collaborators within the university or in other international universities.

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.

We work in partnership with industrial clients and research organisations to provide high quality training, research, development and consultancy to meet the challenges of these competitive markets. We have an outstanding international reputation for the quality of our work and our capability of performing both theoretical and experimental studies.

Our work covers academic provision (MSc and PhD) and research. Research works span from fundamental research and development to single client contract research and development.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here .

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families . Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here .

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply                                   

For an informal discussion about this opportunity, please contact Inalhan, Professor Gokhan, Professor of Autonomous Systems and Artificial Intelligence [email protected] .

Closing date for receipt of applications: 02 June 2024

Additional Information
Work Location(s)
Number of offers available
United Kingdom

Where to apply




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