The School of Engineering, Computing and Mathematics at Oxford Brookes University is seeking a Research Fellow in Artificial Intelligence for Autonomous Driving, to be appointed as soon as possible, for a duration of 16 months. The Fellow will be appointed at Grade 8, with a starting salary of £31,866 per annum, rising annually to £34,804.
The deadline for application is April 27 2021. The successful candidate will lead the School’s efforts in the area of human-aware AI for autonomous driving, and will be assisted by one or more PhD students. The project concerns the design and development of novel ways for autonomous vehicles to interact with humans, with a focus on autonomous racing cars. Challenging, disruptive applications of AI require forms of communication between humans and machines which go much beyond the current level of sophistication, towards the modelling of agent thinking in a machine theory of mind approach ( https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253617/) and robust formulations of inverse reinforcement learning under uncertainty. The Fellow will work to design and implement a prototype (but complete) pipeline in a simulated scenario, including: (i) the design of simulations allowing smart cars to understand the reasoning and intentions of other drivers and pedestrians; (ii) the making of decisions based on the results of these simulations; (iii) the actual control and path planning required to pursue the best course of action, with demonstration in a simulated environment. As part of this project, a new ROad event Awareness Dataset for Autonomous Driving (ROAD) (https://arxiv.org/abs/2102.11585), the first in the world of its kind, is being released as part of the upcoming ICCV 2021 Workshop: "The ROAD challenge: Event detection for Situation awareness in autonomous driving": https://sites.google.com/view/roadchallangeiccv2021/home?authuser=0 The Fellow will be tasked with supervising MSc and final year students working on the subject, and will work jointly with the Visual Artificial Intelligence Laboratory, led by Prof Fabio Cuzzolin, and the Autonomous Driving research group, led by Dr Andrew Bradley. The Visual Artificial Intelligence Laboratory ( http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is a thriving research unit projected to comprise 30+ members in 2021, one of the top research groups in the world in deep learning for action detection, currently pioneering frontier topics such as theory of mind, continual learning, self-supervised learning and epistemic artificial intelligence for AI safety. The Engineering section has a very strong reputation in motorsports and engagement with F1 teams. Oxford Brookes Racing having been crowned Class 1 Runner Up in the 2018 Formula Student competition. After the 3rd place achieved in 2019, Oxford Brookes Racing – Autonomous (which includes ca 60 UG students), led by Bradley and assisted by Cuzzolin, ranked 1st overall in the 2020 IMechE Formula Student – AI competition for autonomous racing cars: https://www.imeche.org/events/formula-student/team-information/fs-ai The Fellow will be expected to co/lead OBR – Autonomous towards achieving its next objectives. You are encouraged to contact Prof Cuzzolin at fabio.cuzzo...@brookes.ac.uk for more information and informal feedback on your application. To formally apply, please follow the instructions provided here: https://www.jobs.ac.uk/job/CFF375/research-fellow-in-ai-for-autonomous-driving
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