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Research adjunct in Human Augmentation with AI:Job description:Job location: Bedfordshire, Cranfield Fixed Term Contract until 14 March 2025 or for 9 months (whichever is sooner) Full time starting income is normally in the range of £28,203 to £30,440 per annum Job location: Cranfield, Bedfordshire We welcome applications from prospective Research adjuncts in Human-centred AI, with practice in designing, developing, and validating novel human-swarm collaboration framework with effective AI and augmented reality technologies. Applicant will work in the Centre for Autonomous and Cyber-physical Systems at Cranfield. This exciting new function is co-developed with the Defence Science and Technology Laboratory (DSTL) and dedicated to the identified future research areas of novel human-swarm teaming in complex scenarios. About the function Our reputation for leading in the field of AI and autonomous systems: human-centred AI, human-machine-interaction, advanced sensing, 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 to develop human-centred AI technologies (including models and interfaces) for human augmentation. This is an important strategic function 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 assist you to develop funding for example via doctorate-level study. About You For the function, you will be educated to MSc level in a significant subject. Due to the nature of the project, right to work will be checked by DSTL for security requirement. Your skills and expertise will mean you can contribute to research & development activities such as (1) deep learning, (2) 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 and practice in either one or more of the following areas: 1) AR/VR or advanced user interface design, 2) deep learning in image processing and/or signal processing, 3) Unreal or Unity environment development, 4) other related areas in human-machine interaction. 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 prosperous 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. About Us As a specialist postgraduate university, Cranfield's world-class skills, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Lgain more about Cranfield and our unique impact here. How to apply For an informal discussion about this opportunity, Contact Us by Dr Yang Xing, Lecturer in Applied Artificial Intelligence for Engineering on (E): yang.x@cranfield.ac.uk. Apply online via the above ?Apply' button.Please do not hesitate to contact us for further details on E: hrrecruitment@cranfield.ac.uk. Please quote reference number 4810. Closing date for receipt of applications: 09 May 2024 Skills:
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