PhD Position in Geometric Deep Learning

1 day ago


Umeå, Västerbotten, Sweden Euro Math Soc Full time
Job Description

The Department of Mathematics and Mathematical Statistics at Umeå University is seeking a PhD student to work on geometric deep learning. This field combines the theoretical foundations of machine learning with algebraic geometry, aiming to develop new mathematical theories for understanding and constructing neural networks.

The project focuses on developing equivariant networks that react properly to symmetries in data or learning tasks. This involves researching new ways to construct these networks, describing their resulting models mathematically, and analyzing how symmetries affect the training process.

As part of this project, you will participate in the WASP graduate school, affiliated with the AI/Math track within the Wallenberg AI, Autonomous Systems and Software Program. You will also have the opportunity to collaborate with researchers from various backgrounds and industries.

This position offers an excellent chance to contribute to cutting-edge research while working in a collaborative environment. If you are passionate about theoretical foundations of artificial intelligence and want to make a meaningful impact, apply now



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