Phd On Stochastic Recharge Modelling

2 weeks ago

Québec, Quebec, Canada Natural Resources Canada Full time
Natural Resources Canada
  • Geological Survey of Canada
- Lands and Minerals Sector - GSC-Quebec
Québec (Québec)
This PhD will start in September 2024 and end in September 2028.
Bursary of $28,000/year for 4 years, paid in 3 equal instalments each year.
For further information on the organization, please visit Natural Resources Canada

  • Geological Survey of Canada
  • Research Affiliate Program
    Closing date: 8 July :59, Pacific Time

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

Students enrolled or able to enroll in a in the Interuniversity PhD mineral engineering program at Polytechnique Montréal (Québec, QC, Canada).

Proof will be required before the start date.
To be considered for RAP opportunities:1. you are a full-time student in a post-secondary institution. This includes students with physical or emotional disabilities deemed to have full-time status by their academic institution.

Adult students registered in education and retraining programs at the secondary level may also be eligible for student employment programs.

2. you are enrolled in an academic program that requires research as part of your curriculum
3. you meet the minimum age required in the province/territory of work

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

Duties:

Atmospheric pollutant emissions pose a risk of aquifer contamination in many parts of Canada. Once deposited on the land, these pollutants can infiltrate aquifer systems during groundwater recharge. However, in situ measurement of this recharge remains complex. A deterministic estimate of the spatial distribution of recharge can be made based on the annual water budget.

However, this approach does not take into account the uncertainty associated with recharge flows, which can have a significant impact on the results of hydrogeological and mass transport modelling.


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.

Intent of the process:


The intention is to staff one student position for the completion of a PhD student position in Mineral Engineering at Polytechnique Montréal on stochastic recharge modeling in Abitibi, Quebec.


Positions to be filled: 1

Information you must provide:

Your résumé.

A covering letter "outlining your motivation for undertaking doctoral studies in mineral engineering and this research project in stochastic modelling, and indicating your research areas in which you have knowledge and/or experience"

Contact information for 2 references.

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

Information on language requirements

Essential Education:
Degree equivalency

Degree equivalency

Experience:

  • Experience in applied geostatistics*.
  • Experience in hydrological or hydrogeological modeling*.
  • Experience in Python* programming.
  • Relevant experience in the acquisition, organization and analysis of geological data in a Geographic Information System (GIS) and 3D modeling environment.
  • For the recruitment of students in the federal public service, experience may be acquired through studies, work experience or volunteer activities.

Knowledge:

  • Knowledge of scientific concepts in geostatistics, hydrological or hydrogeological modeling, geology and geography.
  • Knowledge of programming and 3D modeling.

Abilities:

  • Ability to work in a research laboratory and in the field in remote areas.
  • Ability to work alone and in a team.
  • Ability to communicate effectively within the team and with industrial, academic and governmental partners.
  • Ability to communicate results effectively with the public.

Personal suitabilities:

  • Motivation and dynamism
  • Autonomy and proactivity
  • Integrity and professionalism

The following may be applied / assessed at a later date (may be needed for the job):
Selection may be limited to members of the following Employment Equity groups: Aboriginal persons, persons with disabilities, visible minorities, women

Information on employment equity

Conditions of employment:

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