Research Fellow in UAS Navigation
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
Salary £33,309 to £37,127 per annum
Apply by 26/10/2020
Cranfield University is an exclusively postgraduate University with an excellent global reputation for industry-relevant education and research. We are the only university in Europe with our own airport and runway. Through the strong links with industry we have built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future.
As the UK’s only exclusively postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships is creating leaders in technology and management globally. Our distinctive expertise is in our deep understanding of technology and management and how these work together to benefit the world.
Our people are our most valuable resource and everyone has a role to play in shaping the future of our university, developing our learners, and transforming the businesses we work with. Learn more about Cranfield and our unique impact here. Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here.
Cranfield Aerospace is one of the eight major themes at Cranfield University. The Centre for Autonomous and Cyber-Physical Systems is a specialist centre established over 15 years within the School of Aerospace, Transport and Manufacturing dedicated to research and teaching in autonomous and space systems. We cover all types of autonomous vehicles including airborne, ground and marine as well as autonomous space exploration.
The main aim of this project is to address the current and future challenges of assured navigation for safe integration of UAS in non-segregated airspace. This will need to develop a new estimation algorithm for sensor fusion. Developed algorithms will be validated both in synthetic environment and the NBEC at Cranfield. The post holder will work closely with colleagues to make effective use of the DARTeC and NBEC facilities.
Candidates are expected to be confident and independent researchers with a PhD (or close to completion) in estimation and control engineering or relevant engineering discipline, such as autonomous systems, or applied AI.
You will also have a proven track record of publishing in high quality journals, excellent time-management skills, be able to work both independently and as part of a team and be experienced in carrying out experimental research.
In return, the successful applicant will have exciting opportunities for career development in this key position, and to support world leading research and education, joining a supportive team and environment.
At Cranfield, we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential.
We actively consider flexible working options such as part-time, compressed or flexible hours and/or an element of homeworking, and commit to exploring the possibilities for each role. Find out more here.
For an informal discussion about this role, please contact Professor Antonios Tsourdis, Director of Research for SATM via (E): email@example.com