PhD: Kernel-Driven RNLA Sketching & Theory

International Academic Center in the United Kingdom invites applications for a PhD position on Kernel Methods for Randomised Numerical Linear Algebra. The project starts Fall 2027 and explores connections between RNLA subsampling and kernel-based distribution approximation to create compact, representative matrix sketches.

Candidates from Applied Mathematics, Theoretical Computer Science, or Quantitative Engineering with strong linear algebra and probability backgrounds are encouraged to apply;