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Research Officer, Applied Mathematics

City: Toronto 

Organizational Unit: Digital Technologies 

Classification: RO 

Tenure: Various Tenures 

Duration:  

Language Requirements: English 

 

An eligibility list may be established for similar positions for a one year period.

The NRC Advantage

GREAT MINDS. ONE GOAL. CANADA'S SUCCESS. 

 

The National Research Council of Canada represents a powerful partnering option for anyone looking to push the boundaries of science and industry. In fact, as the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development, we have become catalysts for innovation. For over a hundred years, the impact of our work with industry leaders and other government bodies has shaped Canada’s future. We partner with some of the most creative and solutions-driven minds in the world. 

 

And now, we want to partner with you. Be part of our collective force to come up with potentially disruptive solutions to Canada’s current and future technology challenges. Let your expertise and inspirations make an impact by joining the NRC.

 

Your Challenge

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 vibrant and dynamic 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:

Education

PhD Computer Sciences, Engineering or Mathematics

 

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

Experience

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

English 

 

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

 

View all competency profiles

Relocation

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. 

Notes

  • 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.

 

 

As an employer who values diversity in its workforce, we encourage candidates to self-identify as members of the following designated groups: women, visible minorities, aboriginal peoples and persons with disabilities. Measures for accommodation are available to all candidates retained for further assessment.

 

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

E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

Telephone: 613-991-4116 

Closing Date: Posted until filled

 

 

For more information on career tools and other resources, check out Career tools and resources

 

Date Modified: 2018-12-11

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