PHD POSITION

PhD Studentship: Self-Supervised Learning for Sparse and Heterogeneous Spatio-Temporal…

Deadline: 24 Feb 2027 · 104 days left

Institution: University of East Anglia
Country: United Kingdom
Field: Computer science and AI
Type: PhD position
Pay: £21,805
Deadline: 24 Feb 2027 · 104 days left

About this position

About the Project Primary Supervisor - Professor Beatriz de la Iglesia Can AI Learn When Data Are Scarce? Artificial Intelligence is transforming our ability to understand and predict complex systems. But what happens when the data we need most are scarce, incomplete or irregularly collected? Can AI algorithms learn from the vast amounts of unlabelled information available and make reliable predictions with very few observations? This exciting PhD project will tackle one of the fundamental challenges in modern machine learning: developing AI methods that learn meaningful patterns from complex

Who can apply

Nationality and visa rules

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Deadlines and how to apply

Applications close on 24 Feb 2027 (104 days from today). Apply on the official page; PhD Atlas does not collect applications.

Read the official call and apply

Official call: https://www.jobs.ac.uk/job/DTM832/phd-studentship-self-supervised-learning-for-sparse-and-heterogeneous-spatio-temporal-data

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