Research Assistant in Deep Learning for Vision in Surgical Robotics

Oxford Brookes University - Faculty of Technology Design and Environment

The School of Engineering, Computing and Mathematics of Oxford Brookes University is seeking a Research Assistant in Deep Learning for Vision in Surgical Robotics.

This post is offered for a 12 month, fixed term, full time duration.

The successful candidate 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).

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 (, with the only online deep learning-based action detection platform capable of working in better than real time with top accuracies. 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 be:

  • Assisting with the research activities assigned to Oxford Brookes University as part of the SARAS project;
  • Helping with the processing of the surgical data;
  • Assisting with the preparation of papers for publication and making presentations at meetings and/or conferences, including SARAS review meetings;
  • Conducting literature searches and reviews;
  • Attending conferences/workshops to disseminate the results of SARAS and present papers as required;
  • Reporting on a regular basis to the Head of the Artificial Intelligence Laboratory.

You should have:

  • a postgraduate qualification or be studying for a PhD;
  • research experience in machine learning for computer vision;
  • a good publication record in vision and machine learning venues;
  • a good knowledge of machine learning;
  • good coding skills in Python, Matlab and/or C++.

International applicants from outside the EU will need to demonstrate their eligibility to work in the UK.

Location : Wheatley Campus, Wheatley

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South East England