Project description

Third-cycle subject: Computer Science

The Division of Robotics, Perception and Learning has an open position for a doctoral student with a background and strong interest in computer vision and deep generative learning. The successful candidate will join a to learn better image representations, based on generative approaches, for out-of-distribution discovery and novel species discovery for fine-grained classification. We anticipate incorporating genomic measurements into the identification process. The algorithms developed will be application area independent, but a particular focus will be put on plankton species identification with the goal to build more robust classification and novel species identification systems.

You will be part of ongoing collaboration between the groups of Assoc Prof Josephine Sullivan at RPL, Prof Anders Andersson (Environmental Genomics) at the SciLife Lab and Bengt Karlson at SMHI. The PhD studen...