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round Details This project explores how machine learning and artificial intelligence can transform the scholarly digital editing process, not only by potentially automating and enhancing editorial
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supports the semi-automated checking of research outputs, including machine learning and Artificial Intelligence models. Working closely with the Research and Innovation Platforms Team, you will oversee
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own interests. The preferred starting date for this position would be in February 2026, but this is very flexible. Supervisor Bio Dr. Bei Peng is a Lecturer in Artificial Intelligence and Applications
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Artificial intelligence and machine learning methods for model discovery in the social sciences
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natural language processing create an opportunity to have artificial agents interact with group deliberation, and make it more effective. In this way, the strengths of human and artificial intelligence can