Research Fellow in Navigation for Autonomous Systems
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 12 Months
Salary £33,309 to £37,127 per annum
Apply by 14/03/2021
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.
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.
This is a fixed-term position to support the delivery of research on RelyMap Enhance project funded by the European Space Agency.
This project is a collaborative research aiming to develop, test and validate a high-performance navigation solution for ground autonomous systems. As a Research Fellow you will be developing and validating sensor fusion approach based on Artificial Intelligence techniques as well as the hardware and software components of the platform, where the developed algorithm will be hosted. You will be also planning and performing test activities at the Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) at Cranfield and in real environment of a construction site.
Candidates are expected to be confident and independent researchers with PhD (or close to completion) in a relevant engineering discipline, such as autonomous systems, sensor fusion for target tracking, guidance and navigation for autonomous systems.
You will also have experience in time-management, be able to work both independently and as part of a team and be experienced in carrying out testing and validation activities.
In return, the successful applicant will have exciting opportunities for career development in this key position, and to supportworld 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. To further demonstrate our commitment to progressing gender diversity in STEM, we are members of WES & Working Families, and sponsors of International Women in Engineering Day.
Our equal opportunities and diversity monitoring has shown that women and/OR minority ethnic groups are currently underrepresented within the university and so we actively encourage applications from eligible candidates from these groups.
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, please contact Dr Ivan Petrunin, Lecturer in Digital Signal Processing for Autonomous Systems, on +44 (0)1234 750111 Ext. 8262 or email@example.com