Postdoc position for classification of cognitive and affective states using eye tracking in the context of a training task.
Faubert Lab is looking for a Postdoc to work on the detection and classification of cognitive and affective states via 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 Postdoc will also collaborate with other researchers exploring different modalities (e.g. EEG, Facial Recognition) for cognitive and affective states classification. Multimodal models will have to be developed to take advantages of the synergy between different sensors and measurements.
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.
This project is part of an NSERC industrial collaborative research and development grant with CAE, a world leader in flight simulation and training. 1 year position, with a salary of $40k.
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, please visit http://faubertlab.com/
We thank all applicants for applying for this position, but only those considered for an interview will be contacted.