To continue the support for the mathematical foundations of AI, the WASP board has decided to support four assistant professorships within the program on mathematics for artificial intelligence within the Wallenberg AI, Autonomous Systems and Software Program (WASP-AI/MATH). The following position refers to the assistant professorship at Chalmers University of Technology.

Assistant professor position within WASP-AI/MATH at Chalmers University of Technology

We seek to hire a tenure track Assistant Professor to work with research within the frame of the national effort on AI, with emphasis on the increasing and significant connection between machine learning and well-developed mathematical theories such as geometry, group theory and representation theory. This is encompassed by the umbrella term geometric deep learning. Interest in exploring connections between machine learning and other related areas that are studied at the department is meritorious.

You will be working in a dynamical and rapidly growing research environment centering around mathematical aspects of AI. The research area “Artificial Intelligence at Mathematical Sciences” (AI@MS) is now one of the largest focus areas at the department, including several PhD students within WASP-AI. You will be part of the newly formed research group on Geometric Deep Learning, which is a rapidly growing field that explores the mathematical structures of deep learning from a geometric point of view.  The collected mathematical expertise at the Department of Mathematical Sciences is essential for the research environment related to geometric deep learning. A sample of other AI-related research projects includes sensitivity analysis for neural networks, machine learning and stochastic PDEs, and shape learning. From a mathematical standpoint, the research in geometric deep learning is also connected to other areas at the department, including analysis, complex geometry, group theory, representation theory, and optimization, leading to ample opportunities for cross-fertilizations. Therefore, you will have excellent opportunities to develop your mathematical research in many different directions.

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