Development of a tinnitus-monitoring earplug

Over 20 million people struggle with chronic tinnitus, many of whom deal with debilitating and extreme cases. To better understand such a widespread condition, a smart occluding intra-aural device capable of capturing biological signals and allowing for auditory transparency is used. With such a device the affects of tinnitus on the emotional health of individuals suffering from it can be better understood and eventually dealt with.  This ambitious project involves the development of a well performing algorithm capable of denoising the biological signals when the device is in transparency mode.  

Required knowledge

We are seeking a Master’s student interested and skilled in  Signal Processing and Machine Learning that could take on this ambitious project.  

Desired program of studies

Masters with project, Masters with thesis, Doctorate

Research domains

Information and communications technologies, Health


This position is fully funded for 2 years through an FRSCQ-Audace grant.

Additional information

Starting:  October 2019 
Partners involves Université de  Montréal, EERS Global Technologies Inc, NSERC-EERS Industrial Research Chair in In-Ear Technologies (CRITIAS), FRQNT Audace 

Candidate sought

Conformity :Human participants