Research Fellow in Intelligent Engineering for Digital Aviation

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 18 months (2 posts) and 24 months (2 posts)
Salary Full time starting salary is normally £33,809 per annum
Apply by 24/01/2022

Role Description

Cranfield University School of Aerospace, Transport and Manufacturing welcomes applications from prospective Research Fellows in Intelligent Engineering for Digital Aviation.

About the Role

We are looking to recruit 4 Research Fellows to support research grants focused on the future of digital aviation, involving uncrewed flight, adversarial artificial intelligence, secure data chain, air space automated management and optimization, counter drone systems and digital twin building. We are recruiting research fellows for these projects to work under the umbrella of our general research vector of autonomous and intelligent systems in digital aviation and advanced air mobility.

As Research Fellow you will contribute to the research activities of the Centre for Autonomous and Cyberphysical 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 doctoral level in a relevant subject and have experience of management research using both qualitative and quantitative methods. With excellent communication skills, you will have expertise in social network analysis and a background in Health & Safety would be an advantage.

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 .

Our reputation for leading in the field of autonomous and space systems, applied artificial intelligence and signal processing has been established through more than thirty years of research into this field. We cover all types of autonomous vehicles including airborne, ground and marine as well as space. Recent research includes the airborne monitoring of ground traffic behaviour for hidden threats by autonomous sensor platforms, developing an analytical framework for understanding the behaviours of multiple uncrewed aerial aircraft and creating collision avoidance and path-planning algorithms for Uncrewed Surface Vessels operating out of human eyesight.

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 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. Find out about our key commitments to Equality, Diversity and Inclusion and Flexible Working here . We are currently piloting hybrid working arrangements until April 2022.  This means the majority of our staff are spending between 40% and 60% of their time working from the office where job roles allow.

How to apply

For an informal discussion about these roles, please contact Dr Dimitri Panagiotakopoulos, Senior Lecturer in Uncrewed Traffic Management, or  at [email protected]