Researcher on Reinforcement Learning

<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><p>THIS IS A RE-ADVERTISEMENT: PREVIOUS CANDIDATES NEED NOT APPLY</p><br><p>A full-time postdoctoral position is available for a researcher in the area of reinforcement learning. This is a European Research Council-funded project, working with Professor Shimon Whiteson. The goal of the project is to develop a new class of reinforcement learning and sample-based decision-theoretic planning methods that overcome fundamental obstacles to the efficient optimisation of control policies for autonomous agents. Creating agents that are effective in diverse settings is a key goal of artificial intelligence with large potential implications in robotics, e-commerce, information retrieval, traffic control, etc.</p><br><p>The postholder will be expected to collaborate in the preparation of research papers, development and analysis of new algorithms, present papers at conferences, act as a source of information and advice to other members of the group on scientific procedures and experimental techniques, which may include stochastic optimisation, Bayesian optimisation, Bayesian quadrature, and deep learning.</p><br><p>The postholder will require a doctoral degree (or be very close to completion) in computer science or a related area, together with a documented track record of published, peer-reviewed research in machine learning and/or decision-theoretic planning (or a related area) and possess strong mathematical skills in probability and statistics together with strong programming skills. Experience of conducting large-scale experiments with complex datasets and simulators is highly desirable.</p><br><p>The closing date for applications is 12.00 noon on 1 December 2016.</p> </div>