Research Associate in Robotic and Asset Certification

Heriot-Watt University - School of Engineering and Physical Sciences

Funding is available for 36 months.

The Institute for Signals Sensors and Systems (ISSS) in the School of Engineering and Physical Sciences of Heriot-Watt University is recruiting in the area of cutting-edge research on robotics applied to the offshore energy sector. This is part of the ORCA Hub, a large Robotics and Artificial Intelligence Hub, delivered in collaboration with Edinburgh University, Imperial College London, Liverpool and Oxford Universities and supported by over 30 companies representing the major players in the Offshore energy sector. This  represents a unique opportunity to work with truly world leading academics and fellow research associates (a total of 30 will be recruited across the Hub) on frontier research for robotics in extreme environments.

Research will be targeted in the following areas:  development of certification methodologies and demonstrations for physical robots; development of new certification methodologies for learning and self-adaptive robotic system and development of  new fusion prognostics techniques for predicting the state of health for robots.

You will contribute to capturing policy standard requirements for self-certification and will become a member of the Smart Systems Group (https://smartsystems.hw.ac.uk/) at Heriot-Watt University. You will have the opportunity to collaborate widely with group members, and become involved in mentoring junior researchers. You will also receive complementary training in a range of areas (robot ethics, outreach, commercialization, data analysis etc.) and will be offered numerous professional development opportunities that will maximize career development. 

You are expected to have, or have already submitted a dissertation for, a PhD in electrical engineering, computer science, applied mathematics, physics, or a related area. Equivalent research experience in industry in a directly related field will also be considered. Strong competences in robotics, machine learning and artificial intelligence, distributed control, reliability analysis or related areas are desirable. Hands on experience with implementation of algorithms on real robots or large-scale modelling and data analysis are also highly desirable.

Informal enquiries may be made to Dr David Flynn or Dr Valentin Robu by email at d.flynn@hw.ac.uk and v.robu@hw.ac.uk

Applications are particularly welcome from women and black and ethnic minority ethnic candidates, who are under-represented in academic posts at Heriot-Watt.

For application details and further information please go to: www.hw.ac.uk/apply-jobs

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Scotland