Research Officer, Applied Mathematics
National Research Council Canada
Toronto, ON
Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.

We are looking for Research Officers to support NRC’s Digital Technologies Research Centre (NRC-DT). The Research Officer would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

The primary responsibility of the researcher in this position is to support the goals of NRC and the activities of the Digital Technologies Research Centre in conducting research of international calibre in machine learning and other related topics. The researcher will work in a team environment with other researchers and technical experts in world-class facilities. The researcher will be called on to participate in international evaluations or demonstrations of the team’s applied technologies.

Screening Criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:


PhD Computer Sciences, Engineering or Mathematics

For information on certificates and diplomas issued abroad, please see Degree equivalency


Should have basic experience in at least 4 of the following, preference will be given to those that have more:

Creating novel algorithms for practical applications
Applying statistical or machine learning techniques
Using statistically justified experimental methods
Applying numerical methods to solve complex problems
Using with analytical methods e.g. those used to determine algorithmic complexity
Creating a significant publication record in top conferences and journals.
Condition of Employment

Reliability Status

Language requirements


Information on language requirements and self-assessment tests

Assessment Criteria

Candidates will be assessed on the basis of the following criteria:

Technical Competencies

Knowledge of modern statistical and machine learning techniques
Knowledge of numeric methods
Ability to analyse algorithms
Ability to experimentally evaluate algorithms
Ability to write high-quality research papers.
Behavioural Competencies

Research - Creative thinking (Level 2)
Research - Communication (Level 2)
Research - Teamwork (Level 1)
Research - Results orientation (Level 1)
Research - Initiative (Level 1)
Competency Profile(s)

For this position, the NRC will evaluate candidates using the following competency profile(s): Research


Relocation assistance will be determined in accordance with the NRC's directives.

Salary Range

This position is classified as a Research Council Officer (RCO), a group that is unique to the NRC. The RCO group uses a person-based classification system instead of the more common duties-based classification system. Candidates are remunerated based on their expertise, skill, outcomes and impacts of their previous work experience. The salary scale for this group is vast, from $64,437 to $140,418 per annum, which permits for employees of all levels from new graduates to world renowned experts to be fairly compensated for their contributions.


In order to ensure a prompt and efficient processing of applications, candidates are encouraged to provide, along with their résumé, a detailed covering letter explaining how they meet each of the requirements of this position (education, experience, language requirements) by providing concrete examples. In addition, the candidate is encouraged to describe in detail when, where and how he/she gained the experience.
NRC employees enjoy a wide-range of benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.
Preference will be given to Canadian Citizens and Permanent Residents of Canada. Please include citizenship information in your application.
These positions are being advertised internally and externally simultaneously; however, first consideration will be given to internal NRC applicants.
The incumbent must adhere to safe workplace practices at all times.
We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with the requisition number (4961) to:


Telephone: 613-991-4116

Closing Date: Posted until filled