[Comp-neuro] Postdoctoral fellowship in neuroscience for speech recognition -- Toronto

Frank Rudzicz frank at cs.toronto.edu
Mon Sep 16 16:53:08 CEST 2013


Postdoctoral fellowship in neuroscience for speech recognition 


 

We are seeking a skilled postdoctoral fellow (PDF) whose expertise
intersects automatic speech recognition (ASR) and neuroscience to develop a
next-generation model of speech production.

Approximately 10% of North Americans have some sort of communication
disorder. It is imperative that technology is used to mitigate difficulties
these individuals have in being understood. This research involves building
a model of how speech is produced physically and in the brain, and
translating it directly into automatic speech recognition. Specifically, we
propose to build an advanced neural network that relates words and phrases
across electroencephalographic (EEG) data, acoustic data, and measurements
of how the important articulators in speech (e.g., the lips and tongue)
move. This model of speech production will be built from data recorded with
people with cerebral palsy and healthy controls.

The PDF will work with a team of internationally recognized researchers in
computer science, speech-language pathology, and neuroscience. 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 will also be involved. 

The successful applicant will have:

1)      A doctoral degree in a relevant field of computer science,
electrical engineering, biomedical engineering, neuroscience, 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
experience;

4)      Excellent interpersonal, written, and oral communication skills;

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 and the
University of Toronto.

About the Toronto Rehabilitation Institute

One of North America's leading rehabilitation sciences centres, Toronto
Rehabilitation Institute 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.  Toronto Rehab, along with Toronto Western, Toronto General
and Princess Margaret Hospitals, is a member of the University Health
Network and affiliated with the University of Toronto.

Applicants should send 1) a full CV, 2) a representative sample of their
work, and 3) a 1-page statement of purpose to Frank Rudzicz at
frank at cs.toronto.edu by 1 December 2013. 

 

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