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.
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 discipline;
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 experience;
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.
-- Frank Rudzicz, PhD
Scientist, Toronto Rehabilitation Institute;
Assistant professor, Department of Computer Science,
University of Toronto;
Co-Founder and President, WinterLight Labs Inc.
Director, SPOClab (signal processing and oral communications)
|| Website: http://www.cs.toronto.edu/~frank
|| Phone (office) : 416 597 3422 x7971
|| Fax : 416 597 3031