15225 Research Associate in Safe AI Systems.pdf (PDF, 405.04kb)
15225 Research Fellow in Safe AI Systems.pdf (PDF, 412.04kb)
Role Description
Department
This role will give you the opportunity to help achieve the safe and responsible uptake of AI and Autonomous Systems (AI/AS) in application domains including automotive, healthcare, maritime and rail. You will be part of the Centre for Assuring Autonomy (CfAA) that pioneered approaches to assuring AI and autonomous systems.
Role
This role offers the opportunity to both accelerate the adoption of these core ideas and to further advance them. Building on our Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE), you will conduct research using a whole-systems approach to the design,
analysis and assurance of AI/AS from engineering and sociotechnical viewpoints. A key focus area will be safety cases for AI/AS, specifically how they are developed and reviewed throughout their lifecycle. You will also have the opportunity to engage with PhD students from the UKRI AI Centre for Doctoral Training in Protected Artificial Intelligence Systems (SAINTS) through joint research projects, training activities and co-supervision.
We are seeking researchers who can demonstrate the capacity to push the boundaries of safety science for AI/AS, rather than simply applying existing techniques.
Skills, Experience & Qualification Needed
Grade 6 - Research Associate
First degree in Computer Science, Engineering, Psychology or cognate discipline
PhD, or in final stages thereof, in Computer Science, Engineering, Psychology, Safety Science or cognate discipline, or equivalent experience
Knowledge of safety science and sy
📌 Research Associate/Research Fellow in Safe AI Systems (Wangoi)
🏢 University of York Computer Science
📍 Wangoi
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