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: Full time starting salary is normally in the range of £28,203 to £31,230 per annum
Apply by: 10/12/2023
About the Role
Our reputation for leading in the field of digital and autonomous systems: sensor data, communications, machine learning, and reasoning - has been established through more than thirty years of research into this field. The group you would be joining is primarily focused in research on human-centred autonomous systems, human-swam collaboration, and immersive interface design for future autonomous air systems.
You will also work with external partners from Dstl and other defence sectors to develop the future human augmentation interface with AI technologies. This is an important strategic role for the team, with opportunities to develop both you, and the technology base. Future contract extension is dependent on funding, which we are actively pursuing. Where appropriate we will support you to develop funding for example via fellowship applications and doctorate-level study.
For the role, you will be educated to MSc level in a relevant subject. Due to the nature of the project, right to work will be checked by Dstl before the start date for national security requirement. Your skills and knowledge will mean you can contribute to research & development activities such as (1) machine learning/deep learning for vision-based object detection or human-computer interface, (2) engage with our Dstl and other defence partners to develop current and future research, and (3) assist activities and project management in the group with other academics.
You are expected to have good research/programming skills in either one or more of the following areas: 1) AR/VR interface development, 2) Unreal/Unity and Airsim environment development, 3) deep learning framework design with Pytorch/Tensorflow, and 4) other related experience in Python/C++/ROS2 programming.
You will be expected to collaborate with the existing staff working in the same centre and have communications and meetings with our collaborators, the industrial partner at various sites across UK. In return, the successful applicant will have exciting opportunities for career development in this key position, and to be at the forefront of world leading research and education, joining a supportive team and environment.
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.
The Centre for Autonomous and Cyber-Physical Systems has reputation for leading in the field of autonomous and space systems, vibro-acoustics 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 unmanned aerial aircraft and creating collision avoidance and path-planning algorithms for Unmanned Surface Vessels operating out of human eyesight.
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. 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.
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 Dr Yang Xing: email@example.com prior to application.
Apply online now at https://jobs.cranfield.ac.uk or contact us for further details on E: firstname.lastname@example.org or T: +44 (0)1234 750111. Please quote reference number 4672.
Closing date for receipt of applications: 10 December 2023