Research Associate in Collaborative Robotics

University of York Department in Computer Science

Research Associate - Collaborative Robotics

Department:Computer Science
Based at:University of York - Heslington Campus
Hours of work:Full-time
Contract status:Fixed term
Salary:32,817 a year
Interview Date:2nd September 2021
Posted Date:20/07/2021
Apply by:17/08/2021
Job Reference:9661

Role Description


This post is associated with an exciting robotics project aimed at improving the safety and efficiency of mobile collaborative robots. The project is part of the Assuring Autonomy International Programme (, a £12 million initiative funded by Lloyd’s Register Foundation and the University of York to spearhead research, training and standards in the safety of robotics and autonomous systems (RAS). RAS are set to have an escalating impact in many areas of economy and society, influencing the lives of a large proportion of the world's population.         


Although the use of collaborative robots is steadily increasing in industry, their ability to collaborate with human operators is often undermined by the use of safety physical barriers between robots and humans.

We are seeking an enthusiastic researcher capable of making significant contributions to the development of control methods and software for ensuring the safety of the robot-human collaboration without the need for such barriers. As a key member of our ‘Confident safety integration for cobots (CSI:Cobot)’ project, you will develop methods and software for the modelling and verification of human-robot interaction in a manufacturing setting, and for the adaptation of the robot configuration and behaviour to run-time disruptive changes that might hinder the safety or other objectives of the human-robot collaboration. You will collaborate with a consortium of partners to validate your research in a robotics testbed at our project partner the University of Sheffield’s Advanced Manufacturing Research Centre, with the support of industrial and regulatory project partners. You will contribute to integrating the project results into the Programme’s Body of Knowledge, a wide-reaching future compendium of state-of-the-art techniques, methods and processes for the engineering, assurance, regulation, deployment and operation of RAS.

Skills, Experience & Qualification needed

  • First degree in Computer Science, Mathematics, or a related subject, and PhD in Computer Science or equivalent experience (Essential)
  • Knowledge of stochastic modelling and analysis, software systems verification and validation techniques (Essential)
  • Excellent algorithm design and software development skills (Essential)
  • Competency to conduct individual and collaborative research projects and ability to develop research objectives, projects and proposals for own and joint research, with the assistance of a mentor if required (Essential)
  • Highly developed communication skills, and ability to write up research work for publication and to engage in public dissemination, including presentation at conferences and other appropriate events (Essential)
  • Understanding of formal verification, probabilistic model checking, controller synthesis algorithms and tools (Desirable)

Interview date: 2nd September 2021

For informal enquiries: please contact Dr Radu Calinescu (email: