Doctoral student position at the Division of Mathematical Statistics at Lund University.
Project description
Recent events have highlighted the vulnerability of critical underwater infrastructure, such as gas pipelines and submarine cables. To increase the protection of our society and our marine environment, it is therefore of great importance that new scalable technologies are developed for reconnaissance and communication in underwater environments.
This research project is carried out in close collaboration with researchers at KTH and FOI and aims to develop improved sonar signal processing with a focus on both theory and method development for reconnaissance in underwater environments.
Work duties
The main task of a doctoral student is to devote himself or herself to his or her doctoral education, which includes participation in research projects as well as doctoral courses. The research concerns both theoretical and methodological development in sonar signal processing, with a focus on optimal mass transport, sparse structures, multi-dimensional signal processing and convex optimization.
The duties also include participation in teaching and other institutional work at Mathematical Statistics, but a maximum of 20% of the working hours.