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 applications is March 29 2020. The successful candidate will lead the School’s effort towards the development of human-aware AI for autonomous driving, and will be soon joined by one or more PhD students. In particular, the fellow will lead the Oxford Brookes Racing - Autonomous team, strong of around 60 undergraduate students structured into 5 divisions, in its attempt to reach the top spot among UK universities by 2022. In 2019 our team came 3rd place overall in the first UK edition of the IMEC-sponsored Formula Student – AI competition: https://www.imeche.org/events/formula-student/team-information/fs-ai The project will focus in particular on situation awareness, and allowing autonomous cars to understand and predict the behaviour of other agents sharing the road with them. A new dataset in Road Event and Activity Detection (RoAD), the first in the world of its kind, is in the process of being released as a Challenge to major robotics (ICRA, IROS) and computer vision conferences (CVPR, ICCV) (https://arxiv.org/abs/1807.11332). The Fellow will work jointly with the Visual Artificial Intelligence, Cognitive Robotics and Autonomous Driving research groups. The Visual Artificial Intelligence Laboratory ( http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is a thriving unit projected to comprise 25+ members in 2020, which has established itself as one of the top research groups in deep learning for action detection, conducting work at the crossroad of AI and neuroscience. The Engineering section has a strong reputation in motorsports and engagement with F1 teams, as demonstrated by Oxford Brookes Racing having been crowned Class 1 Runner Up in the 2018 Formula Student competition. The three groups can provide equipment including a network of GPU servers for a total of around 30 cards, a significant number of humanoid robots (NAO, Baxter, Robothespian) as well as autonomous driving equipment and software. The School has links and collaborates with world-class innovative companies and start-ups in the autonomous driving scene, including Oxbotica, Roborace and Streetdrone. 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/BYW410/research-fellow-in-ai-for-autonomous-driving
_______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
