gJobs.ca

Research Affiliate Program

Reference Number
RSN23J-013750-000428

Selection Process Number
2023-RSN-RAP-EETS-578749

Organization
Natural Resources Canada

Year
2023-2024

Days Open
3

Classification

City
MULTIPLE

Type
External

Quick Summary

Total
11

Employment Equity
5 (45.5%)

Screened out
9 (81.8%)

Screened in
0 (0%)

Applicant Submissions (11)

Employment Equity 45.5% 5

Screened Out 81.8% 9

Screened In 0% 0

Employment Equity(5)

Women 0% 0

Visible minority 0% 0

Indigenous 0% 0

People with disabilities 0% 0

Language

English 0% 0

French 0% 0

Status

Citizens 63.6% 7

Permanent Residents 0% 0

Archived Job Poster

Research Affiliate Program - Research Affiliate Program

Reference number: RSN23J-013750-000428
Selection process number: 2023-RSN-RAP-EETS-578749
Natural Resources Canada - CanmetMATERIALS
Hamilton (Ontario), Toronto (Ontario)
4 months in May 2023 to August 2023. It is expected that the student will work 37.5 hours per week for the 4 months.
$26.72 per hour ($16.99 to $34.59 per hour (salary will be determined by the student’s academic level.))

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

Closing date: 6 April 2023 - 23:59, Pacific Time

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

NRCan seeks an undergraduate or graduate student for summer of 2023 hire in the space of artificial intelligence, natural language processing and data analysis for materials science. The project focuses on developing or utilizing AI algorithms to perform automated data conversion of materials science data. The successful applicant will be responsible for data preparation, coding and working with researchers to develop algorithms for data loading and conversion.

Positions to be filled: 1

Information you must provide

Your résumé.

A covering letter "Please provide a CV, an up to date copy of your transcripts, and provide 2 professional references."

Contact information for 2 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)

To be considered for RAP opportunities, students must be:
1. Students enrolled or able to enroll in a program at University of Toronto (proof will be required before the start date) with specialization in Materials Science and Engineering.
2. Have demonstrated through experience, or work product, a capability to apply machine learning/artificial intelligence techniques to materials science data; and
3. The minimum age to work in the province or territory where the job is
located;

Degree equivalency

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

English essential

Information on language requirements

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

1.) Competence in programming with Python, R, or Julia languages.
2.) Experience using repositories to organize and version control scientific code
3.) Experience in organizing, loading and working with disparate datasets.

In support of achieving a diverse and inclusive workforce, selection is to candidates who self-declare as a member of the Employment Equity group: women.

Conditions of employment

Reliability Status security clearance - Reliability Status security clearance - This factor is not used at the screening stage. The hiring department is responsible for the security clearance process.

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

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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