PhD student positions at the Division of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences, Lund University.
Research subject
The research subject for the current call is mathematics with a focus on computer vision and machine learning. The announcement consists of two projects listed below. State in your application which of the two projects you are interested in. You may apply for both.
- Matrix factorization and optimization. Factorization methods are important building-blocks in many engineering applications. Their ability to extract compact low dimensional models from matrix/tensor-organized data is of key importance in areas such as computer vision and machine learning. Our overall goal is to understand when this possible, through theoretical studies of optimization formulations, and to design reliable and efficient algorithms that converge to the right solution independently of initialization. An application of interest is the so-called Structure from Motion problem. Here a set of points tracked through a collection of images are used to compute the camera motion as well as a model of the potentially dynamic scene.
Contact: Carl Olsson, carl.olsson@math.lth.se - Differentiable neural acoustics. This project involves 3D mapping methods used to enable localization and navigation primarily using sound, but possibly also using radio. The input data consists, for example, of a number of sound signals from which the 3D geometry of transmitters, receivers, and acoustic properties in the environment are calculated. In the research, we develop and use a large number of techniques for example for parameter estimation, optimization, machine learning, drawing inspiration from the latest results in computer vision and machine learning.
Contact: Kalle Åström, karl.astrom@math.lth.se
The thesis work in both projects will include the development of new methods, theoretical analysis, algorithm design, planning and execution of experiments, data collection, writing scientific articles, and presenting the results at international conferences.