Title: Intelligent Systems and Software Developer
Location: Downtown Toronto, Canada

Closing Date: April 12, 2006

Intelligent Assistive Technology and Systems Lab / Physical Function Lab
University of Toronto / Toronto Rehabilitation Institute (TRI)


The Intelligent Assistive Technology and Systems Lab (IATSL) and the
Physical Function Lab (PFL) invite applications to the position of
intelligent systems and software developer for intelligent cognitive
devices. Candidates must hold a M.Sc. in an appropriate discipline or a
B.Sc. in an appropriate discipline in addition to relevant post-degree
experience in a research environment. The start date is May 1, 2006,
although an earlier start is much preferred.

The successful candidate will join a unique multi-disciplinary, multi-centre
research team that includes several bioengineers, computer scientists,
occupational therapists, speech and language pathologists, neuroscientists,
clinicians, and mechanical/electronic technicians. The team is led by Dr.
Alex Mihailidis (University of Toronto/TRI), Dr. William McIlroy (University
of Toronto/TRI), and Dr. Jesse Hoey (University of Toronto). Both IATSL and
PFL are affiliated with many prestigious institutions including the
University of Toronto, Toronto Rehabilitation Institute, and Sunnybrook and
Women's College Health Sciences Centre. Funding comes from a variety of
corporate and institutional partners, such as the American Alzheimer
Association, Alzheimer Society of Canada, and Intel Corporation.

Our research program primarily aims at developing autonomous, intelligent
computerised devices that can help older adults live more independently.
Within this research, you will focus primarily on the development of
stand-alone and networked software systems for autonomous devices that
compensate for physical and cognitive deficits that are a result of aging.
The successful candidate will work with the research team to implement
efficient real-time computer vision and planning algorithms for assistive
devices within the previously established distributed computing
architecture. The candidate will also work on maintaining and improving the
distributed substrate.

A major strength of the research program is the combination of basic
science, computing principles, clinical research, and product design, and
development. Our research employs cutting edge technologies and computer
techniques, such as stereo vision, partially observable Markov decision
processes, and various artificial intelligence techniques. The successful
applicant will provide support for projects focusing on a wide variety of
computer-driven assistive technologies and intelligent systems.

The initial position will be a one-year contract. Salary will be based on
the applicantĀ¹s previous experience and education. The contract may be
renewed after the initial year, based on available funding and employee

For more information about our research, visit our web site: www.iatsl.org


The successful candidate will hold either a Master or Bachelor degree in
engineering, computer science, or a related field. The candidate must
demonstrate an excellence in implementing real-time algorithms in C++ and in
working with networked distributed systems. Experience with machine vision,
computational intelligence, and/or related fields is an asset. The
applicant will need to also demonstrate an aptitude for transdisciplinary
research that addresses the intersections of health care, technology, and

The University of Toronto hires on the basis of merit and is committed to
employment equity. All qualified persons are encouraged to apply, however,
Canadian citizens and permanent residents will be given priority.


The closing date is April 12, 2006. To apply, please send a covering
letter, curriculum vitae, a statement of your relevant interests (1-2
pages), and a copy of your transcripts to:

Dr. Alex Mihailidis
Intelligent Assistive Technology and Systems Lab (IATSL)
University of Toronto
916 Ā­ 500 University Ave.
Toronto, Ontario, CANADA, M5G 1V7

E-mail: alex.mihailidis@utoronto.ca
FAX: (416) 946-8570

Submissions by e-mail or FAX are preferred. After an initial screening,
selected applicants will be asked to forward three academic and/or
professional letters of reference.