PhD student position in Computer Vision at the Division for Computer Vision (CVL) at the Department of Electrical Engineering, Linköping University.
Your work assignments
The research focus for the advertised position is directed towards integrating simulation-based models with machine learning for spatio-temporal prediction and data analysis. Our aim is to develop novel theory and methodology for enabling machine learning constrained by rigid body dynamics and consistency of pose at an unprecedented level of integration. The project involves both fundamental research on the development of new machine learning models and computational algorithms, as well as applied research to demonstrate the usefulness of the new methodologies.
The position is part of the project __main__: Multi-dimensional Alignment and Integration of Physical and Virtual Worlds, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP) through the NEST initiative. As a WASP NEST PhD student, you will take part in the WASP curriculum and benefit from its extensive network of other PhD students and senior researchers.