GC Jobs

PhD Forest resource analysis and management planning - Research Affiliate Program

Reference number: RSN23J-080195-000021
Selection process number: 2023-RSN-RAP-CFS-581739
Natural Resources Canada - Canadian Forest Service, Atlantic Forestry Centre
Fredericton (New Brunswick)
This is a student position. Position is for 22 hours per week for a four year period, from Fall 2023 to Winter 2027.
$26.72 to $31.74 per hour (Pay rate is $26.72/hour. Equivalent to NSERC PGSD and tuition waiver.)

For further information on the Research Affiliate Program (RAP), please visit: Jobs.gc.ca

Closing date: 11 June 2023 - 23:59, Pacific Time

Who can apply: Persons residing in Canada and Canadian citizens residing abroad. To be considered for Research Affiliate Program (RAP) work opportunities, you must meet the following criteria:
1. Be recognized as having full-time student status by the post-secondary academic institution at which you are currently enrolled. (A proof will be required)
2. Be the minimum age to work in the province or territory where the job is located.

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


We are seeking a PhD student interested in forest resource analysis and management planning to work on a project investigating and developing novel resource and planning models to support the development of a unique strategic-level forest management plan. The successful candidate will join a team at the University of New Brunswick and Natural Resources Canada – Canadian Forest Service who are developing a long-term strategic-level forest management plans for a military base. The plan will accommodate military training needs, fire risk, environmental compliance (e.g. Species At Risk), and other values such carbon storage, while considering the effects of climate change. The project will provide the opportunity to explore and research novel analytical methods of land inventory analysis, spatial simulation modeling, optimization, and trade-off analysis for a wide-range of objectives and indicators. Results from this work will be used to inform land management locally, and to inform a national strategy for land management on military bases. The successful candidate will be encouraged to develop their own research questions related to forest management and planning that can be addressed in a modelling/simulation framework and/or with targeted field experiments.

Positions to be filled: 1

Information you must provide

Your résumé.

A covering letter "A covering letter in 500 words (maximum) NOTE: In 1 page, you must provide concrete and detailed examples to clearly demonstrate how you meet the education and experience requirements listed in the essential qualifications, explain your past research experience, and state why you are interested in the project."

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

- Master of Science in natural resources management, forestry, landscape ecology, or equivalent.
- The student must be currently enrolled or willing to enroll at the University of New Brunswick as a PhD student in the Department of Forestry and Environmental Management.

Degree equivalency

- Experience conducting scientific research related to natural resources management, forest management, or landscape ecology.
- Experience writing scientific documents.
- Experience preparing and delivering presentations.

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.

If you possess any of the following, your application must also clearly explain how you meet it (other qualifications)

Asset Experience
- Experience planning and conducting scientific research in the field of forestry and/or forest ecology.
- Experience working with a collaborative research group.

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

English essential

Information on language requirements

- Knowledge of forest management planning.
- Knowledge of dynamic vegetation modeling.
- Knowledge of silviculture and vegetation management.
- Knowledge of forest planning modeling (e.g., using Remsoft or Patchworks software or equivalents).
- Knowledge of geographical information systems (e.g., QGIS or ArcGIS).
- Knowledge of basic programming in the R or Python languages.

- Initiative
- Collaboration
- Integrity and respect
- Adaptability
- Empathy

- Ability to effectively communicate orally.
- Ability to effectively communicate in writing.

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.

- Must be enrolled at the University of New Brunswick in a PhD graduate program.
- Willingness to travel from home base for extended periods.
- Possession of valid driver’s license.

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

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.


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.

Contact information

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