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FacultyofScience The Faculty of Science is seeking a Research Scientist to join a team of Canada Research Chairs, environmental

Summary: FacultyofScience
The Faculty of Science is seeking a Research Scientist to join a team of Canada Research Chairs, environmental
researchers, and molecular scientists studying environmental issues related to water quality, aquatic ecosystems
and their protection. The Quantitative Environmental Scientist position is a new model for research in Canada,
and includes the responsibility both to conduct independent research, and to facilitate the research of others
through collaboration and expert service. The Research Scientist will be required to exploit, manage, maintain,
and upgrade the Numerical Analysis Facility (NAF), including the 20-year Qu'Appelle Valley Long-term Ecological
Research Database (QU-LTER), the NAF computer laboratory with Dell research workstations, and analytical and
field equipment associated with the new $30M Environmental Quality Analysis Laboratory (EQAL2). EQAL2 is the
University of Regina's unique 6500 sq. ft research centre that provides world-class infrastructure and research
expertise to faculty, students and staff from regional, national and international agencies. The facility includes all
equipment required to conduct cutting-edge environmental research with an aquatic focus, including
comprehensive field equipment (boats, trucks, sondes, meters), superb analytical capabilities (HPLC, GC, IRMS,
MIMS, AA, LC-MS-MS), and allied analytical research staff including advanced chemical analyses and
environmental proteomics capability.
We are seeking an individual with a PhD and expertise in applying advanced quantitative methods to analysis of
environmental systems, particularly aquatic habitats. The ideal candidate will have 3-5 years of proven research
success, strong communication skills, and experience in the successful administration and supervision of
students. Strong technical experience in biological statistics, modeling, database management, and web
development is desired. The ideal candidate will have an interest in developing and applying new quantitative


Source: Argerami, Martin - Department of Mathematics and Statistics, University of Regina


Collections: Mathematics