Kamis, 02 Juni 2016

Postdoctoral fellowship at University of Quebec (Montreal, Canada)

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

Tidak ada komentar:

Poskan Komentar

FeedBurner FeedCount