The Multimodal Signal Analysis and Enhancement (MuSAE) Lab,
located at the Institut National de la Recherche Scientifique
(INRS), University of Quebec, in beautiful Montreal, Canada is
looking to fill the position of a postdoctoral fellow to work on a
project related to EEG signal enhancement. The ideal candidate
will have a background in digital signal processing and hands-on
experience with classical EEG denoising methods, as well as
experience developing new artefact removal algorithms. Experience
with Matlab and/or Python programming is a must, and hands-on
experience with parallel computing, deep learning, and mobile EEG
devices are considered assets. A strong publication record in
renowned journals and conferences is a must.
At the MuSAE Lab, we are building next-generation context-aware
human-machine interfaces and the fellow will have the opportunity
to interact with other group members working on multimodal
brain-computer interfaces (NIRS-EEG), objective biosignal quality
measurement, affective BCIs, amongst other related projects. The
Lab also works closely with NeuroTechMTL
(http://mtl.neurotechx.com) to raise awareness about
neurotechnology and promote innovation in the related fields
through teaching, mentorship and networking. For more details,
please visit http://musaelab.ca/about/
Interested and qualified applicants are invited to email Prof.
Tiago H. Falk at falk@emt.inrs.ca with their complete CV, name and
contact information of three references, and copies of three most
recent (relevant) papers. Applications will be received until June
3rd and the position will start as soon as possible. Salary will
be in line with the scale suggested by the Natural Sciences and
Engineering Research Council of Canada and commensurate with
experience.
Sincerely,
--
Tiago H. Falk
Associate Professor, INRS-EMT
Director, MuSAE Lab
Web: http://musaelab.ca
Twitter: @MuSAELab
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