PhD: Self-Supervised Learning Sparse Spatio-Temporal Data

Position: PhD: Self-Supervised Learning for Sparse Spatio-Temporal Data

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

We are seeking a motivated PhD:
Self-Supervised Learning for Sparse Spatio-Temporal Data to join University of East Anglia in Norwich, England, United Kingdom.

Consider building your career as a PhD:
Self-Supervised Learning for Sparse Spatio-Temporal Data at University of East Anglia.

The PhD:
Self-Supervised Learning for Sparse Spatio-Temporal Data position in the Bio & Pharmacology & Health, Management & Operations field is open for applications.