<html><head><meta http-equiv="Content-Type" content="text/html; charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><div class="">Fully funded PhD position in "Goal and Plan Recognition for Multiple Agents"</div><div class=""><br class=""></div><div class="">The University of Aberdeen offers a fully funded PhD position in Automated Planning, and specifically to address challenges in Goal Recognition in the real world. </div><div class=""><br class=""></div><div class="">Goal recognition is the task of identifying the intended state of affairs of an agent, given evidence about its currently executing plans. While recent approaches have improved runtime performance for classical planning settings, the expressivity of the domain formalism has remained largely the same, providing ample opportunities to define more realistic and challenging goal recognition settings. Specifically, domains where the recognizer needs to learn target agent behaviour, or needs to recognise the goal of multiple target agents, remain poorly explored in goal recognition research. This project aims to give the first steps towards a number of novel goal recognition techniques in more complex domains, beyond those based on classical planning formalisms. The resulting techniques should prove invaluable for goal recognition in the real world, and where one needs to identify the behaviour of teams of agents.</div><div class=""><br class=""></div><div class="">This position will be supervised directly by Professor Felipe Meneguzzi, Chair in Computing Science at the University of Aberdeen. Informal enquiries for further details can be directed to Prof. Meneguzzi (you can google for the email address).</div><div class=""><br class=""></div><div class="">The successful candidate should have, or expect to obtain, a UK Honours degree at 2.1 or above (or equivalent from any other country) in computer science, mathematics or a related discipline. We expect the candidate to experience with at least one of the following topics:</div><div class=""><br class=""></div><div class="">Automated Planning algorithms (e.g., heuristic search) and formalisms (e.g., PDDL)</div><div class="">Multiagent Systems</div><div class="">Multiagent Planning</div><div class="">Model Checking</div><div class="">Goal and Plan Recognition</div><div class=""><br class=""></div><div class="">This position is fully funded by the School of Natural and Computing Sciences of the University of Aberdeen. </div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">Application Procedure:</div><div class=""><br class=""></div><div class="">Formal applications can be completed online: <a href="https://www.abdn.ac.uk/pgap/login.php" class="">https://www.abdn.ac.uk/pgap/login.php</a></div><div class="">You should apply for Computing Science (PhD) to ensure your application is passed to the correct team.</div><div class="">Please clearly note the name of the supervisor and project title on the application form. If you do not mention the project title and the supervisor on your application it will not be considered for the studentship.</div><div class="">Please include a personal statement, an up-to-date copy of your academic CV, and your relevant educational certificates and transcripts.</div><div class="">
<span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; ">--<br class="">Felipe Meneguzzi<br class=""><a href="mailto:felipe.meneguzzi@gmail.com" class="">felipe.meneguzzi@gmail.com</a></span>
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