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: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification
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proficiency in distributed and high-performance machine learning algorithms, methods for exploiting modern system architectures for high-performance AI, and quantum distributed computing. A proven track record
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within agreed work schedules. Additional information Informal enquiries are welcome and should be made to Professor John Schwabe on js336@leicester.ac.uk As part of the University’s ongoing commitment
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changes to work schedules. Additional information Informal enquiries are welcome and should be made to Karen squires on kms30@leicester.ac.uk and Kate Benyon on klb71@leicester.ac.uk We anticipate interview
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tasks within agreed work schedules. Evidence of continued personal development of subject expertise would be desirable to this role. Additional information Informal enquiries are welcome and should be
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written and verbal communication abilities, capable of prioritising tasks within agreed work schedules and committed to continuous professional development. A willingness to participate in workshops and