Theme leads

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The Centre for Machine Intelligence (CMI) is a £3.64m strategic investment by the University of Sheffield that will cement our status as a world-leading institution for research and education in AI. The CMI will create a vibrant interdisciplinary research environment that recognises our unique strengths, such as those in the social sciences, manufacturing, autonomous systems, health, energy, digital humanities and digital twins. The Centre will work closely with stakeholders in industry, government, higher education and non-profit organisations to significantly raise our profile in interdisciplinary AI research and innovation.

Currently, the CMI is in the process of appointing Leads for its four interdisciplinary research themes. The Theme Leads will work across different faculties and institutes and will play a pivotal role in furthering the CMI's mission to foster outstanding interdisciplinary research in and/or on AI at Sheffield and beyond.

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.
Autonomous Systems and Robotics - This theme will enable a new generation of robots and other autonomous systems including bio-inspired solutions and their safe and secure adoption in applications such as healthcare, agriculture and manufacturing.
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.