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Machine Learning, Research Officer at National Research Council Canada


Machine Learning, Research Officer
Information and Communications Technologies
National Research Council Canada
Fredericton - New Brunswick or Kitchener - Ontario or Moncton - New Brunswick or Ottawa - Ontario or Waterloo - Ontario
Online Job Posting:
These are 2 continuing positions and 2 term positions for 3 years from the date of reporting.
Assignments and secondments may be considered according to NRC's policies.
An eligibility list may be established for similar positions for a one year period.
Your challenge
Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada’s premier research and technology organization.
We are looking for four (4) vibrant and dynamic Research Officers to support NRC’s Information and Communications Technologies (NRC-ICT). The Research Officer would be someone who shares our core values of impact, accountability, leadership, integrity and collaboration.
The primary responsibility of the researcher in this position is to support the goals of NRC and the activities of the Information and Communications Technologies (ICT) Portfolio in conducting research of international calibre in machine learning, and the development and application of modern machine learning methods to computer vision, natural language processing, artificial intelligence, cyber-security, life sciences, engineering or manufacturing. 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 similar discipline.
Significant experience building statistical or machine learning systems to perform computer vision, natural language processing, artificial intelligence, cyber-security, life sciences, engineering or manufacturing.
Significant experience and a proven track record of training statistical or machine learning systems in a “big data” environment, such as on a computer cluster.
Significant experience in a team working on the development of large-scale systems.
Experience creating novel algorithms or capabilities in machine learning or by using machine learning.
Experience in participating in international competitions or shared tasks in machine learning, computer vision, natural language processing, artificial intelligence, cyber-security, life sciences, engineering or manufacturing would be an asset.
Experience creating a strong publication record in top conferences and journals.
Condition of employment
Reliability Status
Language requirements
English or French
Assessment criteria
Candidates will be assessed on the basis of the following criteria:
Technical competencies:
Knowledge of statistical and modern machine learning techniques, including deep learning.
Advanced knowledge of the application of machine learning to at least one of: computer vision, natural language processing, artificial intelligence, cyber-security, life sciences, engineering or manufacturing.
Ability to publish high-quality machine-learning-based research papers in at least one of the areas: machine learning algorithms, computer vision, natural language processing, artificial intelligence, cyber-security, life sciences, engineering or manufacturing.
Ability to iteratively improve system performance through systematic empirical evaluation.
Knowledge of Linux/Unix, a language such as C++ or Java, and at least one scripting language, such as Perl, Python, or Shell.
Knowledge of one or more frameworks for applying deep learning, such as TensorFlow, Caffe, Theano, Torch, etc.
Knowledge of techniques for running advanced algorithms in a “big data”, cluster environment, including knowledge of the use of GPUs.
Behavioural competencies:
Creative Thinking (Level 3)
Communication (Level 2)
Teamwork (Level 2)
Results Orientation (Level 2)
Initiative (Level 2)
Relocation assistance will be determined in accordance with NRC's directives.
Salary range
These positions are classified as a Research Officer (RO), a group that is unique to the NRC. The RO 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 $49,670 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.
Closing date
Applications will be accepted until 23:59 Eastern Time
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.
To apply
All applications must be submitted on-line. Please do not fax or email your applications. By applying over the web, your application becomes available to managers immediately. Applications must be received no later than the closing date.
You should also be prepared to attach your résumé into the online application form in one of the following formats:
Microsoft Word
Rich Text Format (RTF)
ASCII text
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 review instructions before applying online.
Apply now
To obtain a copy of the job description
Please direct your questions, with the hiring number (101-17-0322) to:
Telephone: (613) 991-1123

Last modified: 2017-08-14 19:38:24