Research Associate/Fellow Safe Robotics

Research Associate/Fellow Safe Robotics

Department

Computer Science

Salary

£36,024 - £54,395 per year

Grade

Grade 6/7

Contract status

Fixed term

Hours of work

Full-time

Based at

University of York campus

Posted Date

21/02/2024

Apply by

20/03/2024

Job Reference

13137

Documents

13137 Job Description Research Associate.pdf (PDF, 307.69kb)

13137 Job Description Research Fellow.pdf (PDF, 314.34kb)

Role Description Department

This role will give you the opportunity to advance state-of-art and empirical research in safe Artificial Intelligence (AI) and Autonomous Systems (AS) in a range of application domains including autonomous driving and healthcare. You will be key to establishing a new Centre, building on the work of the Assuring Autonomy International Programme (AAIP), which pioneered approaches to assuring autonomous systems and their machine learning (ML) components.

Role

You will be developing and testing novel systems and software architectures that support the assurance of safety for physically embodied robotic systems, intended for deployment in critical applications, e.g. in health and social care and transport. You will develop and analyse the safety requirements for these systems (based on systematic safety analysis), generate and evaluate different design options, implement the most plausible designs in virtual and physical environments and generate the appropriate safety evidence, directly contributing to the overall safety case for the use of these systems.

This is an inherently interdisciplinary research area and will require you to work closely and effectively with other team members and be able to explain your research clearly and precisely. You will evaluate your research through in-depth case studies, requiring close collaboration with industrial and regulatory partners.

Skills, Experience & Qualification needed

First degree in Computer Science, Engineering, or cognate discipline

PhD in Robotics, or equivalent experience

Knowledge of the design, implementation, and operation of autonomous robotic systems

Knowledge of algorithms required for robot autonomy (e.g. perception, mapping, planning, navigation)

Ability to learn and adapt safety analysis and assurance techniques

Experience of developing and testing robotic systems

Experience of researching safety-critical systems

Experience of researching the use of robotics in safety-critical applications

Ability to work as part of a diverse and multidisciplinary team

Interview date: to be confirmed

For informal enquiries: please contact Professor Ibrahim Habli on [email protected]

The University strives to be diverse and inclusive – a place where we can ALL be ourselves.

We particularly encourage applications from people who identify as Black, Asian or from a Minority Ethnic background, who are underrepresented at the University.

We offer family friendly, flexible working arrangements, with forums and inclusive facilities to support our staff. #EqualityatYork