Doctoral student in Machine Learning

Project description

Third-cycle subject: Computer Science

PhD student 1 will be a part of an EU project Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors. The goal of the project is to digitalize the sense of smell, pave the ground for understanding how the sense of smell works in humans and build AI models of these. We seek a candidate who have experience working with time series data (EEG), signal processing and machine learning.

PhD student 2 will be a part of an EU project Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors. The goal of the project is to digitalize the sense of smell, pave the ground for understanding how the sense of smell works in humans and build AI models of these. We seek a candidate who have experience working with computer vision, machine learning and video processing.

Supervision: Professor Danica...