The expansion of Artificial Intelligence (AI), in the broad sense, is one of the most exciting developments of the 21st century. This progress opens up many possibilities but also poses grand challenges. The center "Wallenberg AI, Autonomous Systems and Software Program" (WASP) is launching a program to develop the mathematical side of this area. The aim is to promote the competence of Sweden as a nation within the area of AI. We are taking part in this program through four research projects:
- Learning with noisy labels, http://www.math.chalmers.se/~stig/project1.pdf
- Deep learning and statistical model choice, http://www.math.chalmers.se/~stig/project2.pdf
- Deepest learning using stochastic partial differential equations, http://www.math.chalmers.se/~stig/project3.pdf
- Quantum deep learning and renormalization: A group-theoretic approach to hierarchical feature representations, http://www.math.chalmers.se/~stig/project4.pdf
The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees, and is the largest department of mathematics in Sweden. The department has three scientific divisions, Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. More information about us can be found on our website: http://www.chalmers.se/math/
Provided that sufficient funding is obtained, we will recruit four or more doctoral students in mathematics for artificial intelligence.
We seek four or more PhD students to be nominated for participation in the WASP AI-Math graduate school. We will submit our nominations to WASP by May 31. The final selection of the candidates will then be done by WASP. The projects are expected to start on August 15, 2018, but the starting date is flexible.
There are two related WASP PhD positions advertised at Chalmers: one at the Department of Computer Science (supervisor: Devdatt Dubhashi) and another at the Department of Electrical Engineering (supervisor: Giuseppe Durisi).
Applicants must have a strong background in mathematics, mathematical statistics, or theoretical physics. They must have obtained a master's degree or a 4-year bachelor's degree, or expect to complete such a degree by September 1, 2018.
Application deadline: 13 May, 2018
Αναλυτικές πληροφορίες: researchgate.net