Reference Number
RSN20J-019827-000142
Selection Process Number
2020-RSN-EA-RAPBUR-SPI-198397
Organization
Natural Resources Canada
Year
2020-2021
Days Open
7
Classification
City
Sherbrooke
Type
External
Total
14
Employment Equity
10
(71.4%)
Screened out
0
(0%)
Screened in
14
(100%)
Employment Equity 71.4% 10
Screened Out 0% 0
Screened In 100% 14
Women 42.9% 6
Visible minority 35.7% 5
Indigenous 0% 0
People with disabilities 0% 0
English 50% 7
French 50% 7
Citizens 35.7% 5
Permanent Residents 0% 0
We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.
The successful candidate will have the opportunities to conduct research in the production of hydrographic modelling networks and delimitation of watersheds from DEM data, derived from LiDAR data. The potential research areas include: (i) evaluating the influence of spatial resolution on the accuracy of derived hydro network and watersheds, and (ii) quantify the uncertainty of the delimited hydro network and watersheds. The student will have the opportunities to interact with CCMEO staff, researchers and technicians.
The successful candidate should have good work ethics, a strong sense of responsibilities, ability to work in team environments, and enthusiasm to work in both controlled environments and fields. Preference will be given to a Canadian citizen and a permanent resident of Canada.
The day-to-day work will take place at Université Laval and a work term from the CCMEO office in Sherbrooke, QC.
Positions to be filled: 1
Your résumé.
A covering letter in 2,000 words (maximum) "You are required to submit a cover letter that clearly demonstrates how you meet the essential criteria of education and experience."
Bachelor degree in forest environment and management, currently enrolled in Masters program in Forest Sciences in the Department of Wood and Forest Sciences at Université Laval.
Experience in hydro network modelling and mapping using DEM derived from LiDAR.
Experience in on-site stream characterization, forest road inspection and wetland delineation.
Experience in analyzing and understanding geospatial data.
Experience in conducting literature reviews and summarizing information.
Experience in writing research reports and making scientific presentations.
English or French
Information on language requirements
Computer programming, Knowledge of geomatics
Interactive communication
Initiative
Adaptability
Teamwork
Reliability Status security clearance - Note: Each student hired through the Research Affiliate Program (RAP) must meet the security requirements of the position as a condition of employment. Therefore, the student will be asked by the hiring organization to complete security-related documents.
The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.
Information on employment equity
For further information on the organization, please visit Canada Center for Mapping and Earth Observation
For further information on the Research Affiliate Program (RAP), please visit: https://www.canada.ca/en/public-service-commission/jobs/services/recruitment/students/research-affiliate-program.html
Preference will be given to Canadian citizens.
We thank all those who apply. Only those selected for further consideration will be contacted.