The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Research Fellow in Deep Reinforcement Learning for Machine��Theory��of��Mind, to be appointed asap, on a 30-month contract.
The deadline for application is 16th December 2019.
Salary: ��31,866 rising annually to ��34,804.
The Research Fellow will lead the Lab���s efforts within the Leverhulme Trust-funded Research Project Grant ���Theory��of��mind��at the interface of neuroscience and AI���, in partnership with Prof Barbara Sahakian of the Department of Psychiatry of the University of Cambridge, a leading figure in the field of Clinical Neuropsychology and the President of the International Neuroethics Society (
https://www.bcni.psychol.cam.ac.uk/directory/barbara-sahakian). The project aims to provide machines with ���theory��of��mind��� capabilities, i.e., the ability to guess the reasoning processes and intentions of other intelligent agents. It will explore the possibility of creating flexible��theory��of��mind��simulations based on the concept of reconfigurable deep networks, trained in a reinforcement learning setting, as well as refine and test new cognitive models for these functionalities in the human brain. Similarities and differences with inverse reinforcement learning will also be investigated.
The Visual Artificial Intelligence Laboratory (
http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is of the top research groups in the world in deep learning for action detection, and is heavily investing in the topic 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.
The Laboratory is currently running on a budget of almost ��2 million, with seven 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.
For an overview of our research themes and projects, please consult
http://cms.brookes.ac.uk/staff/FabioCuzzolin/files/VAIL.pdfYou will join a vibrant and fast growing team projected to comprise 25+ people in 2019-20. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. The Lab collaborates with various companies including Huawei, Leonardo, Cisco, Ocado, Cortexica and Oxbotica, and is in the process of spinning off a company in the area of action detection. We closely work 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.cuzzolin@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/BWZ564/research-fellow-in-reinforcement-learning-for-machine-theory-of-mind����