[Eeglablist] PhD position for classification of affective states using EEG and eye tracking in the context of a training task.

[Yannick Roy]

PhD 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 PhD student to work on the detection and
classification of affective states with EEG and eye tracking data during
pilot training tasks. The PhD student 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 PhD
student 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 is a fully funded position: $21k / year for 3 years.

Please send a curriculum vitae and a letter outlining research experience
and career goals to faubertlab [at] opto.umontreal.ca

For more information on Faubert Lab (University of Montreal), please visit
http://faubertlab.com/

-Yannick
PhD Student, Faubert Lab
University of Montreal
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