The Department of Mathematical Sciences at Chalmers University of Technology has an opening for a PhD position with a focus on the interplay between probability and analysis in the setting of machine learning/AI, under the supervision of Associate Professor Pierre Nyquist. The aim of the project is to contribute to our understanding of mathematical principles underlying modern methods for machine learning/AI. Several directions of the project are possible and will be determined in collaboration with the PhD candidate; topics of interest include but are not limited to analysis of learning algorithms, generalisation properties of deep learning methods, (stochastic) optimisation, sampling methods, stochastic networks and learning on graphs, and interacting particle systems. The position is a time-limited, full-time, fully funded five year position (four years of research + 20% teaching spread out over the duration of the position) starting August 2024 or at an agreed upon time. It comes with generous support for travel and potentially longer stays abroad. The position is financed within the Wallenberg Autonomous Systems and Software Program (WASP) and the student will participate in the WASP graduate school; for more information about the WASP program see https://wasp-sweden.org/graduate-school/ai-graduate-school-courses/. Students interested in one or more fields related to the following are encouraged to apply: probability theory, artificial intelligence, machine learning, statistics, Monte Carlo Methods, optimisation, stochastic analysis, partial differential equations, gradient flows, interacting particle systems, graph theory, information theory. Ideally, applicants will have a sound training in probability theory (e.g., stochastic processes and stochastic differential equations) and analysis (e.g., partial differential equations, functional analysis) but this is not a requirement. The official application period ends on February 19. For more information, see the official ad in Chalmers recruitment system, or https://pierrenyq.github.io. Interested students can also contact Pierre for an informal conversation about the position. Note that only applications submitted via Chalmers recruitment system can be considered.
Last updated: 6 January 2024