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The Centre for Machine Intelligence (CMI) strengthens the University of Sheffield’s position as a global leader in AI research and education. The Centre cultivates interdisciplinary collaboration across fields such as social sciences, manufacturing, health, and digital twins while engaging with industry, government, and non-profit organisations to advance AI innovation.
The CMI is appointing Fellows for three of its four interdisciplinary research themes. Successful applicants will work closely with the AI theme lead for their area of specialisation.
- Human-Centric AI - This theme will address challenges in social interaction, using AI for good and conforming to legal and ethical norms.
- AI-Enabled Research - This theme will transform research across all disciplines by providing new methods for understanding a wide range of data (images, sound, sequences, etc.), detecting key or rare events in massive data sets, extracting new insights in scientific and health data.
- AI for Engineering and Manufacturing - This theme will enable efficient and robust manufacturing processes, novel design and production of chemicals and materials, and accessible AI-driven manufacturing systems.
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