PostDoc position for classification of affective states using EEG and eye tracking in the context of a training task.

Description

Faubert Lab is looking for a PostDoc to work on the detection and classification of affective states with EEG and eye tracking data during pilot training tasks. The PostDoc will explore both online and offline solutions as well as traditional machine learning and novel deep learning approaches. The classification of affective states using EEG and eye tracking is one component of a bigger project and, therefore, the PostDoc will work with other PhD and master students all responsible for different aspects of the project.

Requirements

Faubert Lab expertise is in vision and perception and we are looking for someone with programming skills coming from a technical background such as engineering or computer science. Preferably with experience in machine learning and/or deep learning.

Working conditions

This project is part of an NSERC industrial collaborative research and development grant with CAE, a world leader in flight simulation and training. This position comes with a salary of $48k / year for 2 years.   

Tagged as: Affective, BCI, EEG, Eye-Tracking