<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class=""><b class="">======================================================================================</b></div><div class=""><b class="">2 Postdoc positions in AI and Robotics for Extreme Environments at Royal Holloway University of London</b></div><div class=""><b class="">======================================================================================</b></div><div class=""><br class=""></div>Outstanding candidates in Artificial Intelligence and Robotics are invited to apply for two posts of Research Associate in the Department of Computer Science at Royal Holloway University of London. <div class=""><br class=""><b class="">The Department</b></div><div class="">The Department, established in 1968 (one of the oldest CS departments in the world), is one of the top departments of Computer Science in the UK. In the most recent Research Excellence Framework (REF 2014), it scored 11th for the quality of our research output, with a third of the publications recognised as world-leading and a further half internationally excellent (87% in total). The Department is home to outstanding researchers in algorithms and complexity, artificial intelligence, machine learning, bioinformatics, distributed and global computing, software language engineering and type theory. <br class=""><br class="">Over the past five years, the department has undertaken an ambitious plan of expansion: fourteen new academic members of staff were appointed, new undergraduate and integrated-master programmes were created, and five new postgraduate-taught programmes were launched. The department is involved in multiple inter/multidisciplinary activities, from electrical engineering to psychology and social sciences.<br class=""><br class=""><b class="">The Project</b><br class="">The positions are funded by the two-year Innovate UK grant “Connect-R - Providing Structure in Unstructured Hazardous Environments” (TS/S017623/1), held by Dr Sara Bernardini, in the context of the program “Robotics and AI: Inspect, Maintain and Repair in Extreme Environments”. The project will be carried out by a consortium including other universities (University of Edinburgh), industry (Barrnon, Tharsus, Jigsaw Structures and Ross Robotics) and end users (UK Atomic Energy Authority). The Connect-R team will develop an industrial-scale, self-building, modular, autonomous robotic solution to provide robotic access to work-sites in hazardous environments such as Nuclear Decommissioning, Oil and Gas, Mining and Space systems.<br class=""><br class=""><b class="">The Candidates</b><br class="">The successful candidates will hold a PhD or equivalent, have a strong research record in Artificial Intelligence or Robotics and a strong interest in practice-driven research. Experts in AI Planning, Autonomous Systems, Agent and Multi-Agent Systems and Cognitive Robotics are particularly encouraged to apply. Experience in engaging with industry or contributing to outreach activities would also be valuable. The duties and responsibilities of these posts include conducting individual and collaborative research on the themes of the project, developing software based on the needs of the project, and producing high-quality outputs for publication in high-profile journals or conference proceedings.<br class=""><br class=""></div><div class="">In return, we offer a highly competitive rewards and benefits package including:<br class=""><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Generous annual leave entitlement <br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Competitive Maternity, Adoption and Shared Parental Leave provisions</div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Training and Development opportunities<br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Pension Scheme with generous employer contribution <br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing. <br class=""></div><div class=""><span class="Apple-tab-span" style="white-space: pre;"> </span>• Free parking <br class=""></div><div class=""><br class=""></div>The posts are based in Egham, Surrey, where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London, Europe’s most dynamic technology hub. <br class=""><br class="">There posts are full-time and fixed-term (extensions are possible), available from March 2019 or as soon as possible thereafter.</div><div class=""><br class=""><b class="">To Apply</b><br class="">For an informal discussion about the posts, please contact Dr Sara Bernardini on <a href="mailto:sara.bernardini@rhul.ac.uk" class="">sara.bernardini@rhul.ac.uk</a> or +44-1784-276792. To view further details of these posts, please visit <a href="http://www.cs.rhul.ac.uk/home/sara/projects.html" class="">http://www.cs.rhul.ac.uk/home/sara/projects.html</a> and <a href="https://jobs.royalholloway.ac.uk" class="">https://jobs.royalholloway.ac.uk</a>. For queries on the application process, the Human Resources Department can be contacted by email at <a href="mailto:recruitment@rhul.ac.uk" class="">recruitment@rhul.ac.uk</a><br class=""><br class="">To apply, follow the links: </div><div class=""><a href="https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0219-049" class="">https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0219-049</a></div><div class=""><a href="https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0219-050" class="">https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0219-050</a><br class=""><div class=""><br class=""></div><div class=""><div class="">Please quote the reference: 0219-049<br class="">Closing Date: Midnight, 1 March 2019 <br class="">Interview Date: To be confirmed</div><div class=""><br class=""></div><div class="">----</div></div></div><div apple-content-edited="true" class=""><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Dr Sara Bernardini<br class="">Senior Lecturer<br class="">Department of Computer Science <br class="">Royal Holloway University of London<br class=""><br class="">Office: McCrea 126a <br class="">Telefone: +44-1784-276792<br class="">Web: <a href="http://www.cs.rhul.ac.uk/home/sara/" class="">http://www.cs.rhul.ac.uk/home/sara/</a></div><div class=""><br class=""></div></div></body></html>