The University of East Anglia’s School of Computing Sciences invites applications for a PhD project titled “Can AI Learn When Data Are Scarce?” under Professor Beatriz de la Iglesia. You will explore self-supervised learning with spatial and temporal data to develop novel algorithms and address real-world challenges.
Based on an ongoing NERC-funded project, the work aims to predict microbial contamination in bathing waters and bridges AI methods with environmental science and hydrodynamic
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PhD: Self-Supervised Learning for Sparse Spatio-Temporal Data in Norwich employer: University of East Anglia
The University of East Anglia (UEA) is an exceptional employer, offering a supportive work culture that prioritises employee growth and development. As a Commercialisation Administrator, you will benefit from a generous benefits package, including 34 days of annual leave, and the opportunity to contribute to meaningful projects that impact society and the economy. UEA's commitment to gender equality, recognised by its Athena Swan Silver Institutional Award, further enhances its reputation as a progressive workplace.
