You will work at the intersection of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones.

Project Description

Modern AI computing systems require large amounts of energy and computational power. Reservoir computing offers a promising alternative by using complex physical systems to perform tasks such as prediction, classification, and signal processing.

However, one major challenge remains: We still do not fully understand what makes a reservoir computing system perform well.

This PhD project aims to answer this question.

You will develop a unified mathematical theory and framework to study and explain how different reservoir systems work and how to design them for specific tasks. The project will combine:

• Mathematical modelling of dynamical systems;
• Computational photonics simulations;
• Comparison with real physical systems (especially photonic systems using light).