Research Fellow in 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 12/11/2020
Cranfield University’s Centre for Autonomous and Cyber-Physical Systems welcomes applications from individuals to support the delivery of research on Drone Technologies for Medical Deliveries.
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.
This is a fixed-term position to support the delivery of research on Drone Technologies for Medical Deliveries for two Innovate UK-funded projects that aim to develop operational procedures, safety case technologies and physical infrastructure to enable medical deliveries by drones and, as a result, integrate drones into the UK transport system.
Part of the developments will be performed in a simulation environment. As Research Fellow you will be developing and validating algorithms for collision avoidance, navigation and communication to support safety case for BVLOS drone operations. You will also be engaged with potential end users of drone deliveries for healthcare to present results and collect opinions for future use cases of the developed technologies.
Candidates are expected to be confident and independent researchers with PhD (or close to completion) in a relevant engineering discipline, such as autonomous systems, guidance and navigation for aerial 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 modelling and simulation for autonomous systems.
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 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 firstname.lastname@example.org