[Elsnet-list] Postdoctoral fellowship in speech communication and human-robot interaction for assistive technology
frank at cs.toronto.edu
Fri May 10 22:13:17 CEST 2013
We are seeking a skilled postdoctoral fellow (PDF) whose expertise
intersects automatic speech recognition (ASR) and human-robot interaction
(HRI). The PDF will work with a team of internationally recognized
researchers to create an automated speech-based dialogue system between
computers and robotic systems, and individuals with dementia and other
cognitive impairments. These systems will automatically adapt the
vocabularies, language models, and acoustic models of the component ASR to
data collected from individuals with Alzheimer's disease. Moreover, this
system will analyze the linguistic and acoustic features of a user's voice
to infer the user's cognitive and linguistic abilities, and emotional state.
These abilities and mental states will in turn be used to adapt a speech
output system to be more tuned to the user.
Work will involve programming, data analysis, dissemination of results
(e.g., papers and conferences), and partial supervision of graduate and
undergraduate students. Some data collection may also be involved.
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 possibly
supervision of junior researchers, students, or equivalent industrial
4) Excellent interpersonal, written, and oral communication
5) A strong technical background in machine learning, natural
language processing, robotics, and human-computer interaction.
This work will be conducted at the Toronto Rehabilitation Institute, which
is affiliated with the University of Toronto.
--== About the Toronto Rehabilitation Institute ==--
One of North America's leading rehabilitation sciences centres, Toronto
Rehabilitation Institute (TRI) is revolutionizing rehabilitation by helping
people overcome the challenges of disabling injury, illness ,or age-related
health conditions to live active, healthier, more independent lives. It
integrates innovative patient care, ground-breaking research and diverse
education to build healthier communities and advance the role of
rehabilitation in the health system. TRI, along with Toronto Western,
Toronto General, and Princess Margaret Hospitals, is a member of the
University Health Network and is affiliated with the University of Toronto.
If interested, please send a brief (1-2 page) statement of purpose, an
up-to-date resume, and contact information for 3 references to Alex
Mihailidis (alex.milhailidis at utoronto.ca) and Frank Rudzicz
(frank at cs.toronto.edu) by 31 July 2013. The position will remain open until
Frank Rudzicz, PhD.
Scientist, Toronto Rehabilitation Institute;
Assistant professor, Department of Computer Science,
University of Toronto;
Founder and Chief Science Officer, Thotra Incorporated
>> http://www.cs.toronto.edu/~frank (personal)
>> http://spoclab.ca <http://spoclab.ca/> (lab)
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