The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Research Fellow in Deep Learning for Complex Activity Detection in Videos, to be appointed as soon as possible, full-time, on a two-year basis.
The deadline for application is October 11 2020. Salary: £31,866 rising annually to £34,804. The Research Fellow will lead the Lab’s efforts in the context of a new Research Agreement with Huawei Technologies on the topic of “Deep learning for complex activity recognition”. The project aims to explore new deep learning models of complex activities composed by multiple events and actions, such as cooking a meal, or autonomous driving scenarios involving, e.g., multiple vehicles negotiating an intersection. The goal is to learn a graph-like representation of such complex activities in an end-to-end fashion. The efficient implementation of the resulting models on mobile devices will also be explored. The Visual Artificial Intelligence Laboratory ( https://cms.brookes.ac.uk/staff/FabioCuzzolin/) is one a top research unit in deep learning for action detection, and is heavily investing in the topic of modelling complex activities involving the interaction of several people and objects, and of predicting future behaviour and events. The team designed in 2017 the first system yet able to localise multiple actions on the image plane in real time, and our algorithms regularly compete for the best detection accuracies. Former PhD students have moved on to postdoc positions at Oxford, Stanford and ETH Zurich. We have recently organised a Surgeon Action Detection Challenge at MIDL 2020 (https://saras-esad.grand-challenge.org/Home/), as part of the SARAS EU project, and we are now working to release the first ever Road Events and Activities Dataset (ROAD), a multi-label dataset designed to test an autonomous vehicle’s situation-awareness and prediction capabilities. The Laboratory is currently running on a budget of around £2 million, with six live funded projects spanning computer vision, machine learning, general AI, autonomous driving, surgical and mobile robotics, AI for healthcare, decision making and uncertainty theory. We are also significantly involved in the new £1.9 Oxford Brookes AI Incubator (AIDA) and in the University’s Ethical AI Institute, and we are in the process of launching a new start-up to develop the world’s first AI-powered coaching app for competitive sports. For an overview of our research themes and projects, please consult https://cms.brookes.ac.uk/staff/FabioCuzzolin/files/VAIL.pdf You will join a vibrant and fast growing team projected to comprise 20-25 people in 2020. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. We collaborate with various companies including Huawei, Leonardo, Cisco, Ocado and Oxbotica, work closely with Cambridge University’s Neuroscience, as well as Oxford University’s Engineering and Computer Science Departments, and have established links with IIT Bombay, Harvard, Seoul National, the Fraunhofer Institute, and numerous other European partners. 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/CBL347/research-fellow -in-deep-learning-for-complex-activity-detection-in-video
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