La ROADEF
La R.O.A.D
Evénements
Prix
Publications
Plus
Forums
Connexion
Livre blanc

Canada : Tier I Canada Research Chair position in Data Science at Western

Forum 'Emplois' - Sujet créé le 2017-04-28 par Marcel Mongeau

The UNIVERSITY of WESTERN ONTARIO



 Tier I CANADA RESEARCH CHAIR in Data Science


 The Departments of Computer Science and Statistical & Actuarial
 Sciences are pleased to announce a search for a Tier I Canada
 Research Chair in Data Science for a jointly appointed Tenured
 Appointment at the rank of Associate Professor or Full Professor. The
 rank will be commensurate with the successful applicant's
 qualifications and experience. The candidate must have a Ph.D. in
 Computer Science, Statistics, Mathematics, Engineering or a related
 field and a demonstrated record of independent research
 accomplishments. The starting date will be July 1, 2018, or as
 negotiated.



 In accordance with the regulations set for Tier 1 Canada Research
 Chairs (http://www.chairs-chaires.gc.ca), the successful candidate
 will be an outstanding and innovative researcher whose
 accomplishments have made a major impact; be recognized
 internationally as a leader in their field; and have a superior
 record of attracting and supervising graduate students and
 postdoctoral fellows. The successful candidate will provide
 leadership in research, foster collaborations with industry, promote
 interdisciplinary scholarship, increase knowledge mobilization and
 societal benefits, and catalyze, in collaboration with faculty and
 staff, the development of interdisciplinary graduate and
 undergraduate programs in Data Science and Analytics. The preferred
 candidate will demonstrate leadership, collegiality and strategic
 vision through collaboration with existing Computer Science and
 Statistical & Actuarial Sciences faculty members to foster existing
 and build new links between the departments. The candidate must
 propose an innovative research program of the highest quality that
 will attract excellent trainees, students, and future researchers and
 will have displayed an interest in working on problems of industrial
 and/or societal relevance.



 Data Science is a priority research and teaching focus at Western
 University. The preferred candidate will have an internationally
 peer-recognized record of research in data science/analytics.  These
 areas might include one or more of the following: Machine learning,
 statistical analysis and calibration of big data sets and models,
 data-driven and data intensive systems, Bayesian modeling, stream
 data mining, spatio-temporal analysis, graph analytics, text
 analytics,  and visualization and analysis of high-dimensional data.



 Data science is a cornerstone to areas of strength at Western which
 are increasingly dependent on the acquisition and analysis of large
 amounts of data. These areas include (i) the environment with large
 data challenges in climate and ecosystems, natural hazards (e.g.,
 wildland fire, seismic and wind), smart and safe cities, and energy
 and water utilization; (ii) financial markets and risk involving
 high-frequency time series and unstructured cross sectional data; and
 (iii) health, bioinformatics, neuroscience and public health.  The
 candidate will be expected to build collaborative and innovative
 joint initiatives with our world class researchers in at least one of
 these areas.



 Our researchers are supported by world-class facilities and
 infrastructure including the computational capacity in Sharcnet
 (http://www.sharcnet.ca) and Southern Ontario Smart Computing
 Innovation Platform (www.soscip.org<http://www.soscip.org>) as well
 as large scale facilities including the Biotron
 (http://www.uwo.ca/sci/research/biotron/) and WINDEEE Dome
 (www.eng.uwo.ca/windeee/<http://www.eng.uwo.ca/windeee/>) that
 generate massive amounts of data from environmental simulations.
 Western's Brain and Mind Institute (http://www.uwo.ca/bmi/) provides
 access to data from the neurosciences, while the members of the
 Cultureplex lab (http://www.cultureplex.ca/) are engaged in the
 application of big data techniques and ideas to problems in the
 Digital Humanities.


 With annual research funding exceeding $220 million and an
 international reputation for success, Western ranks as one of
 Canada's top research - intensive universities. Western is home to
 about 35,000 full-time undergraduate and graduate students and has
 one of Canada's most beautiful campuses. General information about
 the University can be found at http://www.uwo.ca/. The university
 campus is in London Ontario, a city of 380,000, located midway
 between Toronto and Detroit.  With parks, river valleys, tree-lined
 streets, and bicycle paths, London is known as the "Forest City".
 London boasts an international airport, art galleries, theatre, music
 and sporting events (see http://www.goodmovelondon.com/).  Western's
 Office of Faculty Recruitment and Retention is available to assist in
 the transition of the successful applicant and family
 (http://www.uwo.ca/facultyrelations/).


 Please ensure that the Application for Full-Time Faculty Position
 Form (available at
 http://www.uwo.ca/facultyrelations/faculty/Application-FullTime-Faculty-Position-Form.pdf)
 is completed and included in your application submission.



 Candidates should submit a curriculum vitae, one-page teaching
 statement, one-page statement listing experience or interest in
 professional and/or leadership programs, two-page research plan, and
 contact details of at least three referees to:

 Dianne McFadzean
 Department of Computer Science,
 Western University,
 London, Ontario N6A 5B7
 dmcfadze@uwo.ca<mailto:dmcfadze@uwo.ca>

 Applications will be considered starting September 30, 2017 and will
 continue until the position is filled.

 Positions are subject to budget approval. Applicants should have
 fluent written and oral communication skills in English. The
 University invites applications from all qualified individuals.
 Western is committed to employment equity and diversity in the
 workplace and welcomes applications from women, members of
 racialized groups/visible minorities, aboriginal persons, persons
 with disabilities, persons of any sexual orientation, and persons
 of any gender identity or gender expression.

 In accordance with Canadian immigration requirements, priority will
 be given to Canadian citizens and permanent residents.

 Accommodations are available for applicants with disabilities
 throughout the recruitment process. If you require accommodations for
 interviews or other meetings, please contact Dianne McFadzean at
 dmcfadze@uwo.ca

<file:///\walter.uwo.prisciwork$HUMAN%20RESOURCESFACULTY%20RELATIONSSearchesCRC%20Tier%201%20Data%20Systemsdmcfadze@uwo.ca>