Designation/Position- Postdoctoral Fellow
The University of Saskatchewan, Canada offers Postdoc fellow position in Computer Science (Core Computing Team). Eligible candidate with Ph.D. awarded in relevant field within the last five years can apply.
About- The University of Saskatchewan is strongly committed to a diverse and inclusive workplace that empowers all employees to reach their full potential. All members of the university community share a responsibility for developing and maintaining an environment in which differences are valued and inclusiveness is practiced. The university welcomes applications from those who will contribute to the diversity of our community. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.
The Canadian Hydrological Model (CHM) is a multi-physics modelling software framework for the computer simulation of hydrological processes. It is a key component of the GWF core modelling effort. In order to run CHM in both research and operational modes for the domains of interest for the GWF, e.g., Yukon, Western Canada, all of Canada, CHM must evolve from shared-memory parallelism to distributed-memory parallelism. This is expected to be a highly non-trivial undertaking because it must consider multi-objective load balancing based on multiple disparate processes, e.g., numerical, physical, and topographical. The inclusion of fully coupled processes, e.g., blowing snow and shallow water flow, further adds to the challenge.
Research/Job area-Computer Science
Project Title- Computer Science (Core Computing Team)
Location-University of Saskatchewan, Canada
Eligibility/Qualification- Outstanding applicants are sought who have a demonstrated ability to undertake internationally leading research. They must have: relevant post-graduate training (Ph.D. or PDF); a Ph.D. awarded within the last five years; a proven track record of modeling, numerical analysis, and high-performance computing research; and proficiency in C++ programming and use of MPI and Open MP. Evidence of leading-edge publications in the scientific literature is required, as are strong written and oral communication skills in the English language. An ability to work in a highly collaborative, multidisciplinary team must be demonstrated. Expertise in large dataset analysis and manipulation is desirable.
Education- Ph.D. awarded within the last five years.
Job/Position Description- Global Water Futures (GWF) is a transformative pan-Canadian research programme, led by the University of Saskatchewan (U of S), which aims to place Canada as a global leader in water science for the world’s cold regions and to address the strategic needs of the Canadian economy in adapting to change and managing the risks of uncertain water futures, including extreme events. GWF is transdisciplinary, working with a wide range of users and integrating the natural, social, health, and engineering sciences to provide disaster warning, improved prediction of climate and water futures, and the decision support tools needed to inform adaptation to change and risk management.
This seven-year, $143-million program builds on the expertise of the U of S and three key partner universities (McMaster, Waterloo, and Wilfrid Laurier), faculty from 14 other universities, and eight federal agencies, together with strong international collaboration. To enhance the capability of the U of S and Canada to deliver transformative water modelling science, the Global Institute for Water Security (GIWS) at U of S invites applications from outstanding candidates for the following postdoctoral fellow (PDF) / research scientist position.
The salary offered will be in the range of $45,000-$90,000 CAD, based on training, education, and experience.
This term position will be for up to two years, commencing as soon as possible.
How to Apply- Interested candidates must submit submit the following documents via email:
- a statement of purpose (3-5 pages) that details relevant academic excellence, research abilities, communication, interpersonal, and leadership qualities
- an updated curriculum vitae (max. 10 pages)
- evidence of previous research productivity as demonstrated by authorship of refereed journal publications and conference presentations/publications
- names of three referees
Raymond Spiteri, Ph.D.
Professor, Department of Computer Science
176 Thorvaldson Bldg., 110 Science Place
University of Saskatchewan, Saskatoon, SK S7N 5C9
Telephone: (306) 966-2909
Fax: (306) 966-XXXX