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Fwd: [d-ssc] Postdoc position in geospatial - Ottawa







Begin forwarded message:

From: "Luk Arbuckle" <larbuckle@ehealthinformation.ca>
Date: 27 March, 2012 5:13:02 AM PDT
To: <d-ssc@ssc.ca>
Subject: [d-ssc] Postdoc position in geospatial - Ottawa

Description
The Electronic Health Information Laboratory (EHIL) at the CHEO Research
Institute is looking for a Post-Doctoral Fellow (PDF) to develop novel
methods for risk analysis and de-identification of health records
containing geographic information.  This CHEO Research Institute funded
position requires knowledge of, and experience in, computational
geometry and spatial statistics.

The PDF will contribute to journal papers in which the results of this
research will be published.  The successful candidate will need to
develop efficient algorithms, prove their correctness, do theoretical
evaluations of complexity and performance, and conduct empirical
evaluations of performance.

The successful candidate will report to the Canada Research Chair in
Electronic Health Information, Dr. Khaled El Emam, and work with the
lab's research team-including computer scientists, software engineers,
mathematicians, and statisticians-as well as data stewards and third
parties.

The term of the fellowship will be two years, after which there may be
an opportunity for a long term research scientist position at the CHEO
Research Institute if performance is exceptional.  The position will
start on 1st May 2012.

Responsibilities
* Research and development of methods for risk analysis and
de-identification of health records containing geographic information
* Develop and implement prototypes and simulations as proof of concept
for the proposed methods
* Disseminate research results through the writing of journal papers and
presentations given at meetings and conferences

Qualifications
* Ph.D. in Computer Science, Engineering, Mathematics, Statistics, or a
related field
* A strong research track record with journal or conference publications
in computational geometry, stochastic geometry, spatial statistics, or
similar
* Strong knowledge of algorithms and methods in computational geometry
and spatial statistics
* Proficient in modelling and abstraction of real-world problems
* Knowledge of data mining, statistical analysis methods, and their
applications in health records
* Experience in algorithm and software development
* Good analytical and communication skills
* Self-motivated, independent, and good team player

To apply
Interested candidates please send an electronic copy of your CV to Dr.
Khaled El Emam (kelemam@ehealthinformation.ca). If you have questions
about the position, contact Dr. El Emam via email. Only applicants being
considered for an interview will be contacted.
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