Remote Sensing Scientist – Canadian Wetland Inventory Mapping - Research Affiliate Program

Important messages

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Assessment accommodation

Duties

Successful applicants will participate as part of an ongoing project to develop and implement the Canadian Wetland Inventory Mapping (CWIM) methodologies and baseline products. The project is focused on the application of Earth Observation and remote sensing technologies and methodologies including multi-source data to support the CWIM development for responsible wetland conservation and management.

The student will work closely with the project team at the Canada Centre for Mapping and Earth Observation, and some of the work will need to be performed on-site with the project team at Memorial University of Newfoundland (MUN) under supervision of the Faculty of Engineering and Applied Science. Note it may be possible for the work at MUN to be conducted remotely.

Work environment

The analysis and research work will be conducted at the successful candidate's respective university as well as at MUN as stated above. Occasional visits to the Canada Centre for Mapping and Earth Observation in Ottawa, or participation in fieldwork, may be required. Note it may be possible for the work at MUN to be conducted remotely.

Intent of the process

Student will be hired through the Research Affiliate Program (RAP) with the purpose to accomplish research and complete a thesis or dissertation. Duration of the RAP will depend on academic level: Doctorate Students (1-3 years). Extensions may be possible.

Positions to be filled: 1

Information you must provide

Your résumé.

A covering letter "in 3,000 words (maximum) A Letter of Interest including proposed research concept co-signed by proposed Academic Supervisor."

Contact information for 3 references.

A list of the courses you have taken as well as any courses that you are taking now, or that you will be taking this academic year

In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

Education:
• Have successfully completed a Masters Degree (for a Ph.D. proposal) and have a strong background in geomatics, remote sensing or other related field, with an interest in environmental remote sensing.
• Must be registered in a Ph.D program at a Canadian University, or have a letter of support from a prospective graduate supervisor.

Degree equivalency

Experience:
• Experience with machine/deep learning applied to image analysis (for example, working with different machine learning frameworks such as Scikit-learn, TensorFlow/Keras, or others),
• Experience with analysis of geo-spatial datasets,
• Experience with remote sensing and GIS software (for example, SNAP, eCognition, QGIS/ArcGIS, or others),

The following will be applied / assessed at a later date (essential for the job)

English essential

Information on language requirements

Abilities and Skills:
• Programming skills with proficiency in Python and R
• Ability to develop web-based applications,
• Ability to demonstrate strong problem-solving skills.
• Ability to communicate effectively in writing and orally.
• Familiarity with wetland mapping and conservation

The following may be applied / assessed at a later date (may be needed for the job)

• Prior research in the domains of geomatics, radar and optical remote sensing applied to wetland mapping and classification, as documented with conference presentations and/or peer-reviewed publications.

• Knowledge of big data analytics

Conditions of employment

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 may be asked by the hiring organization to complete security-related documents.

Other information

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

Persons are entitled to participate in the appointment process in the official language of their choice.

Applications should include a Cover Letter (describing the research project) , CV (including publications and conference attendance if any), and a copy of academic transcripts. Names and contact of references may be requested.

Preference

Preference will be given to Canadian citizens.

We thank all those who apply. Only those selected for further consideration will be contacted.