I am looking for talented students (PhD/MSc) who are interested in doing exciting research in computer vision, geometry and machine learning.
The project is about developing 3D mapping methods for sound and radio. In particular, we will focus on methods which takes as input a set of sound or radio recordings and produces a map consisting of for example the sound events, the microphone positions and the room geometry. We will study and develop differentiable methods based on discrete features and continuous representations that will allow the use of efficient data-driven deep learning approachs to enhance the current state-of-the-art. The position is funded by the Wallenberg AI, Autonomous Systems and Software Program within the Differentiable Neural Acoustics” project.

Note that the subject area for the PhD is mathematics and applicants will need to take math courses during their PhD studies. Please contact me for more details.
Apply here. (Deadline 28 May 2024)
My colleague Carl Olsson also has a position funded by Wallenberg AI, Autonomous Systems and Software Program on Matrix factorization and optimization. It is posted on the same place, i.e. here.