Research & Innovation Associate

Description:

Up to two posts as either a Research & Innovation Associate or Research & Innovation Fellow working on assurance of AI-based autonomous systems, as part of the Centre for Assuring Autonomy (CfAA) at the University of York. The roles will enable you to shape the safe introduction of AI-based autonomous systems, across application domains and would be particularly interesting for those who wish to explore assurance of continuous integration and continuous deployment of ML models. The posts will offer the scope to do independent research but a major component will be working with industry and regulators in the UK and internationally. Further, the CfAA is a multi-disciplinary centre, offering you the opportunity to learn from others working in different disciplines.

Skills, Experience & Qualification needed

• Successful applicants will have a first degree in computer science or a cognate discipline, and have completed a PhD on AI/ML, ideally with a focus on continuous integration/ continuous deployment of ML models.

• Experience of carrying out both independent and collaborative research.

• Willingness and ability to work as part of a multidisciplinary team.

• Good communication skills including the ability to write up research for publication.

• In addition, for the Research and Innovation Fellows the successful applicants will have postdoctoral experience and the ability to lead small-scale research projects.