Open Postdoc
and Ph.D. positions
Complexity reduction of particle filters
Radio Frequency Identification
(RFID) Systems
Robust Blood Pressure
Monitoring System
Complexity reduction of particle
filters
Post-doctoral and doctoral (Ph.D.)
positions are available to work on reducing complexity of particle filters. The
project is funded by National Sciences and Engineering Research Council of
Canada.
Particle filters are statistical
signal processing algorithms that can be used for estimation in the systems
that can be represented with a state space model. They show considerably better
performance than the traditional algorithms but they have not been used in
industry mainly because they do not satisfy real-time requirements. In this
project, the researchers will work on one of the several subprojects:
1. reducing
complexity of particle filters,
2. modifying
particle filters for parallel implementation,
3. implementing
particle filters in hardware and on multiprocessors,
4. considering
modifications of particle filters for sensitive applications such as hearing
aids.
Applicants for post-doctoral
positions must possess a Ph.D. degree in Engineering obtained in the past three
years, with evidence of research productivity. Applicants for doctoral
positions must have Masters degree and some
publications related to particle filters. Applicants must show that their
previous research or industrial work is related to some of the above-mentioned
subprojects. Good oral and written English skills are required. Good knowledge
of statistical signal processing is required. Some hardware and/or software
experience is an advantage.
This position is open to citizens of
any nationality, but preference will be given to citizens and permanent
residents of Canada. The starting date is as soon as possible. The position
will remain opened until suitable candidates are found.
Application
Interested applicants should send by
e-mail (1) an up-to-date CV, (2) a list of publications with samples of recent
work, (3) the names and email addresses of 3 referees who could describe the applicants research potential and accomplishments. Send
application to:
Prof. Miodrag
Bolic, School of Information Technology and
Engineering, University of Ottawa, 800 King Edward Avenue, Ottawa, Canada,
K1N6N5
Email: molic@site.uottawa.ca
Radio Frequency Identification (RFID) Systems
Post-doc and doctoral (Ph.D.) positions are available to work on the project RFID Design and Simulation. The project is funded by NSERC and Cistel Inc.
The project will involve, but it is not restricted to, the following:
Simulation of the physical and MAC layer of RFID systems
Simulations of the RF layer
Implementation of the antennas for the readers
Integration of RFID and wireless sensor network
technologies.
Applicants for post-doctoral
positions must possess a Ph.D. degree in Engineering obtained in the past three
years, with evidence of research productivity. Applicants for doctoral
positions must have Masters degree and some
publications related to RFID. Applicants must show that their previous research
or industrial work is related to some of the above-mentioned subprojects. Good
oral and written English skills are required.
This position is open to citizens of
any nationality, but preference will be given to citizens and permanent
residents of Canada. The starting date is as soon as possible. The position
will remain opened until suitable candidates are found.
Robust Blood Pressure Monitoring System
Post-doc and doctoral (Ph.D.) positions are available to work on the project Robust Blood Pressure Monitoring System. The project is funded by Ontario Centres of Excellence and Biosign Technologies Inc.
The project will involve, but it is not restricted to, the following:
Development of signal processing algorithms
-for artifact detection and elimination,
-for
hypertension detection based on the linear model and non-linear model of the hemodynamic system
Development of measurement theory for
-finding
of the appropriate sampling frequency and the rate of blood pressure
acquisitions,
-design
and test a standard for the acquisition of biological parameters in
accord with the measurement theory and IEEE, ANSI and ISO related standards
Experience in measurement theory, signal
processing and/or mathematical modeling is needed. For applicants with signal
processing background, knowledge of source separation and/or statistical signal
processing (particle filters) is an advantage. Applicants must possess a
Master’s degree in Engineering, Physics or related field obtained in the past
three years, with evidence of research productivity. Good oral and written
English skills are required.
This position is open to citizens of any nationality, but preference
will be given to citizens and permanent residents of Canada. The position will
remain opened until a suitable candidate is found.
Interested applicants should send by e-mail (1) an up-to-date CV, (2) a
list of publications with samples of recent work, (3) a personal letter
expressing their interests in the position and career goals, (4) the names of
three referees who could describe the applicants
research potential and accomplishments.
Send application to:
Prof. Miodrag Bolic,
School of Information Technology and Engineering,
University of Ottawa,
800 King Edward Avenue, Ottawa, Canada, K1N6N5
Email: mbolic@site.uOttawa.ca