PhD positions in mathematics for artificial intelligence: application deadline March 6

​We are recruiting six doctoral students in mathematics and mathematical statistics for artificial intelligence, for two projects financed by CHAIR and four projects supported by WASP.

Here is the call for application

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) has launched 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 already taking part in this program through four research projects that started last year. We will now open four new projects:

1.Generalization Bounds for Deep Neural Networks: Insight and Design, supervisor: Rebecka Jörnsten and Giuseppe Durisi.

2. Deep Learning for the Optimal Filtering Problem, supervisors: Stig Larsson and Adam Andersson.

3. Mathematics of Shape Learning, supervisor: Klas Modin.

4. Group Equivariant Convolutional Neural Networks, supervisor: Daniel Persson.

We seek four or more PhD students to be nominated for participation in the WASP AI Graduate School.

After our nominations, the final selection of the candidates will be done by WASP. The projects are expected to start on August 15, 2020, but the starting date is flexible.

As a counterpart to WASP, Chalmers has recently launched the Chalmers AI Research Centre (CHAIR) to significantly increase Chalmers’ expertise and excellence in artificial intelligence. We are able to announce two PhD positions for the research projects:

5. Deep Learning and Likelihood-Free Bayesian Inference for Intractable Stochastic Models, supervisor: Umberto Picchini. 

6. Stochastic Continuous-Depth Neural Networks, supervisor: Moritz Schauer.


Published: Mon 20 Jan 2020.