We are seeking a skilled postdoctoral fellow whose expertise intersects
machine learning and computational linguistics. The candidate is expected
to make novel contributions to these disciplines in the context of
healthcare. The domain of the research is largely open-ended. This may
include textual processing of the medical record, speech recognition with
atypical or pathological voices, and human-computer dialogue using modern
recurrent neural networks, especially with situated robots.
Work can commence as soon as August 2017. The initial contract is for 1
year although extension is possible.
The successful applicant will have:
1) A doctoral degree in a relevant field of computer science,
electrical engineering, biomedical engineering, or a relevant
2) Evidence of impact in research through a strong publication record
in relevant venues;
3) Evidence of strong collaborative skills, including possible
supervision of junior researchers, students, or equivalent industrial
4) Excellent interpersonal, written, and oral communication skills;
5) A strong technical background in machine learning, natural
language processing, and speech recognition. Experience in
human-computer interaction is an asset. Experience with clinical
populations is preferred.
This work will be conducted at the Toronto Rehabilitation Institute and at
the University of Toronto.