Canada nationals: Research Associate (Machine Learning and Flood Forecasting)

National Research Council of Canada
Ottawa, ON, Canada
Position Type: 
Full-Time
Organization Type: 
Government
Experience Level: 
Not Specified
Degree Required: 
Doctorate

EXPIRED

Please note: this job post has expired! To the best of our knowledge, this job is no longer available and this page remains here for archival purposes only.

The National Research Council of Canada (NRC) is the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.

 

We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you.  Let your expertise and inspirations make an impact by joining the NRC.

 

At NRC, we know diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, an open and inclusive work environment, and contributing to a more inclusive Canadian innovation system. 

 

NRC welcomes all qualified applicants and encourages candidates to self-declare as members of the following designated employment equity groups: women, visible minorities, aboriginal peoples and persons with disabilities.

 

Please advise of any accommodation measures required to enable you to be assessed in a fair and equitable manner. They are available to all candidates for further assessment. Related information received will be addressed confidentially.

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 a Research Associate (RA) in Machine Learning and Flood Forecasting to support our OCRE research centre at its Ottawa (Ontario) location. The Research Associate would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.
 

The RA position will be for a fixed term starting as soon as possible and ending March 31, 2022. The RA position is aimed at developing physically consistent and computationally efficient machine learning methods for analyzing large spatial and temporal datasets to enhance flood forecasting in Great Lakes Saint-Lawrence Seaway region. This position is associated with Data Science and AI Team of OCRE research centre and requires an interdisciplinary background and solid understanding of data science and familiarity with real-time flood forecasting methods. There will be a mandatory trial period of 3 months in the beginning.

The successful applicant should have a strong background and interests in hydrology, river engineering, meteorology, climate science, statistics, and computational methods. Excellence in research as demonstrated through publications in international journals is a priority. Demonstrated experience/familiarity with conventional and emerging river flow forecasting tools, spatial statistics, and computer science expertise in big data manipulation would be valuable assets. The RA is expected to work in a team environment, lead development and publication of research papers in high impact journals, and demonstrate high level of responsibility and competitiveness in developing flood forecasting tools.

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

To be eligible for the RA position, you must have received your PhD in a discipline of engineering such as Ocean and Naval Architecture, Civil, Computer, Hydrologic or Mechanical Engineering, or in Computer Science, Machine Learning, Statistics, or a related quantitative field within the last five years or you expect to receive the degree within the next six months.

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

Experience

  1. Experience in the full process of engineering/scientific principles including identification of the problem and requirements, definition of constraints and boundary conditions-for data driven and conventional modelling approaches, selection of the problem-relevant approaches/methodologies, modelling and simulation, analysis and reporting through documentation, presentations and publications;
  2. Experience working with software tools, languages or platforms such as Python, R, GIS, Linux, C++, GPUs, cloud services, TensorFlow, and other similar alternatives;
  3. Experience with working in multi-disciplinary teams;
  4. Experience in developing and managing effective working relationships between organizations (ex: corporate/industry research organizations or institutes, other government agencies);
  5. Experience applying project management methods, principles, practices, tools and techniques.
  6. Experience publishing in scientific/engineering journals.
  7. Experience in one or more of the desired competency areas such as machine learning, applied hydrology, flood forecasting, and mathematical/numerical modelling. Experience with analysing remote sensing data, especially using machine learning methods, is a valuable asset.

Condition of Employment

Secret (II)

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

  1. Strong knowledge in desired competency areas such as machine learning, applied hydrology, flood forecasting, and mathematical/numerical modelling;
  2. Knowledge of the full process of engineering/scientific principles including identification of the problem and requirements, definition of constraints and boundary conditions-for data-driven and conventional modelling approaches, selection of the problem-relevant approaches/methodologies, modelling and simulation, analysis and reporting through documentation, presentations and publications;
  3. Demonstrated experience of working with software tools, languages or platforms such as Python, R, GIS, Linux, C++, GPUs, cloud services, TensorFlow, and other similar alternatives;
  4. Ability working in multi-disciplinary teams;
  5. Knowledge of developing and managing effective working relationships between organizations (ex: corporate/industry research organizations or institutes, other government agencies);
  6. Ability to apply project management methods, principles, practices, tools and techniques.

Behavioural Competencies

  • Research - Creative thinking (Level 3)
  • Research - Results orientation (Level 1)
  • Research - Teamwork (Level 1)
  • Research - Communication (Level 3)
  • Research - Self-knowing and self-development (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

From $56,374 to $159,364 per annum.

The Research Associate (RA) Program is unique to the NRC. It falls under the RO/RCO classification system which 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.

Notes

Application Requirements:

In order to be considered for the Research Associate program please include the following in your application. Failure to do so will result in your application being excluded from searches.

  • Resume
  • Transcript
  • Two letters of recommendation

When submitting your application you can include the required documents in any attachment field such as «Second language evaluation results» or «Other attachments».

  • 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.
  • 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 (10501) to:

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

Telephone: 613-990-4498 

Closing Date: 22 October 2020 - 23:59 Eastern Time

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

*If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.