Reference Number
RSN23J-084208-000089
Selection Process Number
2023-RSN-EA-LMS-587738
Organization
Natural Resources Canada
Year
2023-2024
Days Open
8
Classification
City
Quebec
Type
External
Total
10
Employment Equity
6
(60%)
Screened out
0
(0%)
Screened in
10
(100%)
Employment Equity 60% 6
Screened Out 0% 0
Screened In 100% 10
Women 0% 0
Visible minority 0% 0
Indigenous 0% 0
People with disabilities 0% 0
English 0% 0
French 0% 0
Citizens 0% 0
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 student will be part of a multidisciplinary team working on the application of artificial intelligence methods to geophysical problems as part of the Geological Survey of Canada's GeoNorth program.The student will be in charge of data preparation and labeling for the implementation of classical machine learning algorithms. The student will also apply variational autoencoder methods on the dataset to test generative models with autoencoder and decoder networks. The potential application of the approach to mineralized zones in northern Quebec will be assessed by the student. For this validation stage, geological characteristics and similarities between known mineralized sites will be studied to assess the capacity of the trained networks.
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.
Much of the work will take place in laboratories.
The intention is to staff one student position for the completion of a Master: Application of artificial intelligence to geophysical data.
Positions to be filled: 1
Your résumé.
A covering letter "Applicants must submit a short cover letter (500 mots maximum) describing their interest in this project and their relevant experience (either on the job or during their studies)."
Contact information for 2 references.
Essential Education:
• The candidate must have a university degree (Bachelor's or equivalent), with a specialization in earth sciences, geophysics and/or artificial intelligence.
Essential Experience:
• The candidate must have expertise in earth sciences;
• The candidate must have expertise in programming.
In the context of student recruitment in the federal public service, experience/knowledge can be acquired through studies, work experience or volunteer activities.
• Expertise in both earth sciences and certain artificial intelligence methods would be an important asset.
English or French
Information on language requirements
• Motivation
• Dynamism
• Proactivity
• Integrity
• Ability to work effectively alone and as part of a team.
Selection may be limited to members of the following Employment Equity groups: Aboriginal persons, persons with disabilities, visible minorities, women
Information on employment equity
• 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
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.
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
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.
For this selection process, it is our intention to communicate with candidates via email. 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).
A written examination may be administered.
An interview may be administered.
Reference may be sought.
You must provide proof of your education credentials and a list of courses may be required.
Candidates with foreign credentials must provide proof of Canadian equivalency. Consult the Canadian Information Centre for International Credentials for further information at http://www.cicic.ca/.
Persons are entitled to participate in the appointment process in the official language of their choice.
You must indicate on your application if you require a technical aid for testing or an alternative method of assessment.
Candidates from outside the public service may be required to pay for travel and relocation costs associated with this selection process.
We thank all those who apply. Only those selected for further consideration will be contacted.