Postdoctoral Fellow in Machine Learning and Computational Linguistics
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.
University of Toronto
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.
Work can commence as soon as August 2017. The initial contract is for 1
year although extension is possible.
About University of Toronto
Established in 1827, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. U of T's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities continually attract outstanding students and academics from around the world.
U of T is committed to providing a learning experience that benefits from both a scale almost unparalleled in North America and from the close-knit learning communities made possible through its college system and academic divisions.
Located in and around Toronto, one of the world's most diverse regions, U of T's vibrant academic life is defined by a unique degree of cultural diversity in its learning community.The University is sustained environmentally by three green campuses, where renowned heritage buildings stand beside award-winning innovations in architectural design.