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Research Assistant in Quantitative Structural Modeling
Original government version here
Closing: 2025-07-10

Research Assistant in Quantitative Structural Modeling - Research Affiliate Program

Reference number: RSN25J-151896-000770
Selection process number: 2025-RSN-EA-CFS-655388-1
Natural Resources Canada - Canadian Forest Service - Laurentian Forestry Centre
Québec (Québec)
The position is offered on a part-time basis, at 20 hours per week, for a duration of nine months, from July 2025, to March 31, 2026
The annual remuneration is $25 201, paid in three equal installments over the course of the internship.

For further information on the organization, please visit Natural Resources Canada

For further information on the Research Affiliate Program (RAP), please visit: RAP Website

Closing date: 10 July 2025 - 23:59, Pacific Time

Who can apply: Persons residing in Canada, and Canadian citizens and Permanent residents abroad.

Important messages

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.

Assessment accommodation

The selected candidate will be hired under the Research Assistant Program (RAP) and must conduct research leading to the completion of a doctoral thesis.

Duties

The Laurentian Forestry Centre, part of the Canadian Forest Service at Natural Resources Canada, in collaboration with Université Laval in Québec City, is seeking a doctoral student under the Research Assistant Program (RAP) for a project focused on estimating forest biomass using terrestrial lidar systems.

The selected candidate will be expected to:

• Participate in a study focused on estimating aboveground biomass components (stems, branches, foliage) using terrestrial lidar data and quantitative structural modeling techniques.

• Contribute to the development and application of new modeling tools to map the spatial distribution of biomass at the forest plot scale.

• Explore applications of this work in bioeconomy and canopy fuel characterization.

• Contribute to the dissemination of scientific results, including:
- Writing scientific articles for peer-reviewed journals;
- Presenting findings at national and international scientific conferences.

• Depending on project evolution, assist in the planning and execution of field data acquisition campaigns.

Most experimental work and analyses will be conducted at Université Laval. Some activities, such as follow-up meetings or specific tasks, may also take place at the Laurentian Forestry Centre, part of the Canadian Forest Service at Natural Resources Canada.

Work environment

At Natural Resources Canada, a Federal government job means developing leadership skills, fostering teamwork, and supporting creativity and innovation. We know it takes people from diverse pools of talent to make this happen. That is why we are looking for people like you. As an employee at Natural Resources Canada you can enjoy diverse employment opportunities, a range of career development programs, and a learning culture that supports you to learn on an ongoing basis. We support balancing your work and private life by offering the benefits of flexible work arrangements.

Positions to be filled: 1

Information you must provide

Your résumé.

A covering letter "A cover letter (maximum 1,000 words) describing a relevant research project on estimating forest biomass by components using terrestrial lidar, in the context of Canadian natural forests. The letter must demonstrate understanding of the topic, scientific relevance of the project, and alignment with the internship objectives. Applications must include an up-to-date curriculum vitae, including contact information for academic or professional references, as well as a list of courses completed since the beginning of the current program, those in progress, and those planned for the current academic year."

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:
• Be enrolled or demonstrate a clear intention to enroll in a doctoral program at the Faculty of Forestry, Geography and Geomatics at Université Laval.

Degree equivalency

Experience:
- Remote sensing applied to ecological or forest environments, including data processing and interpretation;
- Forestry, particularly related to the characterization of stand structure;
- Quantitative structural modeling of trees using 3D data acquired with terrestrial or mobile lidar systems;
- Planning and conducting field data collection on forest structure.

Note: In the context of student recruitment in the Federal Public Service, the experience can be acquired through the studies, work experience, or volunteer activities.

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

English or French

Information on language requirements

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

Assets experiences:
• Proficiency in at least one scientific programming language (e.g., Python, MATLAB, R);
• Application of machine learning or statistical analysis techniques to environmental data;

Asset Abilities:
• Ability to clearly communicate research findings, both orally and in writing, in French or English.

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, and therefore will be asked by the hiring organization to complete security-relevant 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

You must provide proof of your education credentials.

Persons are entitled to participate in the appointment process in the official language of their choice.
A random and/or top down selection of candidates may be used in the determination of those to be given further consideration in the assessment process.

Candidates from outside the public service may be required to pay for travel and relocation costs associated with this selection process.

Successful completion of both a RAP work assignment and your educational program may lead to a temporary or permanent federal public service position for which you meet the merit criteria and conditions of employment.

Natural Resources Canada is committed to employment equity and building strength through diversity. We welcome applications from qualified people and encourage members of the designated groups (Aboriginal Peoples, Persons with Disabilities, Visible Minorities and Women) to apply and to self-identify.

For this selection process, it is our intention to communicate with candidates via email for screening and assessment purposes. This will include communication of screening results and invitations to written tests and interviews. To that end, candidates must include a valid email address in their application. It is the candidate's responsibility to ensure that this address is functional and that it accepts messages from unknown users (some email systems block these types of email). It is also the candidate's responsibility to ensure accurate information is provided and updated as required.

We thank all applicants for their interest in our position(s). For the purpose of this staffing process, only candidates selected for further assessment will be contacted.

Preference

Preference will be given to Canadian citizens and permanent residents, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.

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


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