We are looking for a highly motivated and talented post-doctoral fellow to join our dynamic research team. The fellow’s role
is to develop an algorithm to identify, characterize and link various
subtle facial expressions to the sensory and affective dimensions of
loudness. This task will be accomplished by analyzing reactions to
stimuli of different valence and intensity. Data analysis involves the
use of computational linguistics, video data analysis and facial
_expression_ analysis using data-driven approaches and machine learning techniques. Please see attached documents for details.
Interested
candidates are requested to submit their applications, including a CV, a
cover letter explaining their interest in the position and their
relevant skills, together with details of professional references, to Rachel Bouserhal (rachel.bouserhal@xxxxxxxxx). We encourage all qualified candidates to apply,
regardless of origin, gender, sexual orientation or disability status.
We are committed to diversity and inclusion in our team.
-- Rachel Bouserhal Associate Professor / Professeure agrégée École de technologie supérieure Department of Electrical Engineering / Département de génie électrique www.rhad-lab.ca (514) 396-8551