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Postdoc position in AI and Robotics for Extreme Environments at Royal Holloway University of London ====================================================================================== Outstanding candidates in Artificial Intelligence and Robotics are invited to apply for a post of Research Associate in the Department of Computer Science at Royal Holloway University of London. The Department The Department, established in 1968 (one of the oldest Computer Science 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. 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. The Project The position is funded by the two-year Innovate UK grant “Multi-Platform Inspection Maintenance & Repair in extreme environments (MIMRee)”, 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 Manchester, University of Bristol and Royal College of Art), industry (Thales UK, Plan Integrity, Wootzano, and BladeBug) and end users (Offshore Renewable Energy Catapult). The MIMRee project aims at engineering a team of intelligent robotic vehicles (Autonomous Surface Vehicles (ASVs), Unmanned Aerial Vehicles (UAVs) and climbing repair robots) for autonomous operation and maintenance of offshore wind farms, specifically external inspection, maintenance and repair of wind turbine blades. The Candidate 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 this post 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. In return, we offer a highly competitive rewards and benefits package including generous annual leave and training and development opportunities. The post is based in Egham, Surrey/Bedford Square, London 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. This is a full-time and fixed term post (extensions are possible), available from April 2019 or as soon as possible thereafter. To Apply For an informal discussion about the post, please contact Dr Sara Bernardini on sara.bernard...@rhul.ac.uk<mailto:sara.bernard...@rhul.ac.uk> or +44-1784-276792. To view further details of this post and to apply please visit http://www.cs.rhul.ac.uk/home/sara/projects.html and https://jobs.royalholloway.ac.uk. For queries on the application process, the Human Resources Department can be contacted by email at recruitm...@rhul.ac.uk<mailto:recruitm...@rhul.ac.uk> To apply, follow the links: https://www.jobs.ac.uk/job/BRE250/research-associate-in-artificial-intelligence-robotics-autonomous-systems https://jobs.royalholloway.ac.uk/Vacancy.aspx?ref=0319-113 https://findajob.dwp.gov.uk/details/1938742 Royal Holloway recognises the importance of helping its employees balance their work and home life by offering flexible working arrangements. We are happy to consider a request for flexible working for this post including part-time, job share or compressed working hours. Please quote the reference: 0319-113 Closing Date: Midnight, 24 April 2019 Interview Date: To be confirmed ---- Dr Sara Bernardini Senior Lecturer Department of Computer Science Royal Holloway University of London Office: McCrea 126a Telefone: +44-1784-276792 Web: http://www.cs.rhul.ac.uk/home/sara/
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