PhD in Mathematical Foundations for AI at Queen Mary University of London
Join a prestigious multi-university initiative, the Erlangen Programme for AI, and contribute to developing a rigorous mathematical foundation for Artificial Intelligence. Apply for a PhD in Mathematical Foundations for AI at Queen Mary University of London before January 29, 2025.
Prof. Omer Bobrowski and Prof. Primoz Skraba invite applicants to a PhD opportunity focusing on the intersection of Machine Learning, Mathematics, and model interpretability at the Centre for Probability, Statistics and Data Science, Queen Mary University of London. The project aims to develop a rigorous mathematical foundation for Artificial Intelligence, integrating topology, geometry, and probability to enhance AI models’ interpretability, robustness, and generalization.
The research will concentrate on two main areas: Understanding Deep Neural Networks and Understanding Large Language Models. The goal is to unveil hidden structures in neural networks and investigate how these structures arise during training, how information flows through layers, and what vulnerabilities exist. Additionally, the project aims to leverage geometry and topology to explore the internal representations and latent spaces within Large Language Models’ parameters, going beyond simple vectors analysis. The project will develop advanced methods for decoding meaning and structure from LLMs, enabling richer and more diverse access to the linguistic knowledge they encode, and test it in a range of linguistic tasks.
Apply before the deadline on Wednesday, January 29, 2025, for this exciting opportunity. For more information, visit this link.
Tags: PhD, Machine Learning, Mathematics, AI, topology, geometry, probability, Deep Neural Networks, Large Language Models, Queen Mary University of London, data science, interpretability, robustness, generalization