GC Jobs

Master or PhD student research assistant in agricultural machine learning - Research Affiliate Program

Reference number: AGR23J-059095-000174
Selection process number: 23-AGR-RAP-54A
Agriculture and Agri-Food Canada - Science and Technology Branch
Edmonton (Alberta)
The projected start date is January 2, 2024 with an end date of March 31, 2026 (or depending on the candidate's availability or needs). It is expected that the student will work 20 hours per week or less.
$22.71 to $34.59 per hour (Master: $22.71 to $28.57; Doctorate: $26.72 to $34.59 - Varies as per the level of education and experience.)

For further information on the organization, please visit Agriculture and Agri-Food Canada

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

Closing date: 30 November 2023 - 23:59, Pacific Time

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

To be considered for Research Affiliate Program (RAP) work opportunities, all candidates must meet the following eligibility criteria by the date of appointment:

- Be recognized as having full-time student status at an accredited Canadian post-secondary academic institution (this includes students with a disability deemed to have full-time status). Individuals pending approval of acceptance, or in the process of submitting applications are encouraged to apply as proof of enrollment will only be required prior to the start date.

- Be enrolled in an academic program that requires research as part of the curriculum.

- 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

AAFC is committed to diversity and inclusion and is proud to be recognized as one of Canada’s best diversity employers. We welcome all applicants and strongly encourage candidates to self-declare if they belong to an Employment Equity designated group (i.e. Aboriginal Peoples, Persons with Disabilities, Visible Minorities or Women).

Persons are entitled to participate in the appointment process in the official language of their choice. Applicants are asked to indicate their preferred official language in their application.

Communication for this process will be sent via email. It is the responsibility of the candidate to ensure accurate contact information is provided and updated as required. Candidates who apply to this selection process should include an email address that accepts email from unknown users (some email systems block these types of email).

Duties

- Assist with consolidation of livestock and crop genomic and phenotypic data.
- Work with the team to develop and apply machine and deep learning methods based on “omics” and phenotype data to predict genetic potential.
- Draft reports and scientific manuscripts and thesis chapters.

Work environment

The graduate student will work at the University of Alberta, and will collaborate with researchers at AAFC Lacombe Research and Development Centre and other institutions.

AAFC is committed to diversity and inclusion. We have several networks dedicated to ensuring that the department continues to grow as an inclusive, accessible, respectful and diverse workplace. All employees are encouraged and welcomed to join the networks and participate in their activities and events.

• The Gender and Sexual Diversity Inclusiveness Network
• The Indigenous Network Circle
• The Managers' Community
• The Persons with Disabilities Network
• The Student Panel of Representatives for Orientation, Unity and Training
• The Visible Minorities Network
• The Women in Science, Technology, Engineering and Mathematics Network
• The Young Professional's Network

Positions to be filled: 1

Information you must provide

Your résumé.

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:
Currently enrolled or will be enrolled by the date of appointment in a Master’s or PhD program at the University of Alberta in Computing Science, Computer Engineering or Bioinformatics.

Note: Must be currently recognized as having full-time student status in the academic institution in which you are presently enrolled, pending approval of acceptance or in the process of submitting your application. Proof of enrollment will be required prior to start date and must be returning to full-time studies for your next academic term.

Degree equivalency

Experience:
Experience* with Python, C, Java, and SQL programing.

*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 essential

Information on language requirements

Knowledge:
Knowledge of machine learning and its application.
Knowledge of DNA structures, genes and inheritance.

Competencies:
Analytical Thinking
Interactive communication
Problem Solving
Teamwork

Abilities:
Ability to apply computer programming/scripts to analyze simulated or real dataset.

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

Agriculture and Agri-food Canada recognizes that the diversity of its employee population contributes to its strength and integrity. We are committed to achieving employment equity and developing a highly capable workforce that is representative of Canadian Society. We encourage women (especially in non-traditional occupations), Indigenous peoples (Aboriginal peoples), persons with disabilities, and members of visible minority groups to apply and declare themselves as part of one or more of the Employment Equity groups as selection may be limited to candidates belonging to one or more of the groups.

Information on employment equity

Conditions of employment

Reliability Status security clearance - 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.

Ability and willingness to work flexible hours and overtime.
Ability and willingness to work with datasets of livestock and crops.

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

Applications submitted by email will not be accepted. You must apply on-line through https://www.canada.ca/en/services/jobs/opportunities/government.html.

Persons with disabilities preventing them from applying on-line are asked to contact the email referenced below under “Contact Information”.

Candidates will be required to pay for their own travel related to assessment and successful candidates will be responsible for obtaining their own living accommodations.

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

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

RAP Team – Research Affiliate Program
aafc.rap-par.aac@agr.gc.ca
Date modified:
2024-06-03