The School of Engineering, Computing and Mathematics of Oxford Brookes University is seeking two Postdoctoral Researchers in deep learning for activity recognition and scene understanding in surgical robotics. The posts are offered for a 36 month, fixed term, full time duration. The successful candidates will join the School's Artificial Intelligence and Vision lab to support the activities of the Horizon 2020 SARAS project (Smart Autonomous Robotic Assistant Surgeon):
http://cms.brookes.ac.uk/staff/FabioCuzzolin/projects.html The goal of the project is to design two robotics arms powered by an advanced cognitive AI capable of replacing human assistant surgeons in complex laparoscopic procedures. This involves an exciting combination of cognitive and sensorial tasks, namely: (1) recognising surgeon actions and events in real time; (2) placing what happens in the context of the overall surgical procedure; (3) making predictions about future surgeon action and anomalies; (4) understanding the surgical cavity, by detecting, labelling and segmenting scene elements; (5) tracking deformable surfaces and organs in real time. Candidates should have a PhD or other Postgraduate qualification or be studying for PhD in a relevant subject, and possess significant experience in machine learning (especially deep learning), computer vision, and ideally both. The successful candidates will join a vibrant and ambitious School that is welcoming, supportive and friendly. The School blends excellence in teaching and knowledge transfer with world-leading research in areas that span Artificial Intelligence, Computer Vision, Cognitive Robotics, Augmented Reality, Wireless Communications, e-Health and Human Machine Interfaces. The AI and Vision lab, led by Professor Fabio Cuzzolin, enjoys a leadership position in the field of action detection and recognition: http://cms.brookes.ac.uk/staff/FabioCuzzolin/ with the only online deep learning-based action detection platform capable of working in better than real time with top accuracy. The group has also strong interests in (statistical) machine learning, robust statistics and uncertainty theory, e-health, and applications to surgical and mobile robotics, working at the interface of AI and neuroscience. The team has strong links with top research groups in the UK, US and EU, and collaborates with a number of multinational and start-up companies. You will: - Take primary responsibility for the research activities assigned to Oxford Brookes University as part of the SARAS project; - Assume day-to-day responsibility for SARAS, including financial monitoring and managing of equipment, assisting with the leadership of WorkPackage 6; - Work closely with Prof Cuzzolin and his team on this and other projects and studies relating to machine learning and computer vision; - Assist with the supervision of PhD, visiting and MSc students in the lab. You should have: - Postgraduate or Postdoctoral qualification or studying for a PhD; - Research experience in machine learning for computer vision; - Significant publication record in top vision and machine learning venues; - Experience of coding machine learning algorithms. International applicants from outside the EU will need to demonstrate their eligibility to work in the UK. Salary: £26,495 rising annually to £28,936. Deadline for application: April 4 2018 To apply, please follow the link below: http://www.jobs.ac.uk/job/BIG407/postdoctoral-research-assistant/ For informal feedback please contact Prof Fabio Cuzzolin: fabio.cuzzo...@brookes.ac.uk More information is available here: https://my.corehr.com/pls/oburecruit/erq_jobspec_details_form.jobspec?p_id= 049038 Fabio Cuzzolin Professor of Artificial Intelligence Head of Artificial Intelligence and Vision School of Engineering, Computing and Mathematics Oxford Brookes University Oxford, UK http://cms.brookes.ac.uk/staff/FabioCuzzolin/ https://www.linkedin.com/in/fabio-cuzzolin-b481a928/ +44 (0)1865 484526 <+44%201865%20484526>
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