Research Associate, Materials Science
National Research Council Canada
Ottawa, ON, CA
6d ago

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 an early-career Research Associate to support our Digital Technologies research centre (DT). The Research Associate would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

The primary responsibility of the Research Associate (RA) is to support the goals of the Artificial Intelligence for Design (AI4D) program.

Specifically, the RA shall execute computer aided modelling and materials design of CO2 scrubbing via electrocatalysis within the National Research Council (NRC) of Canada in collaboration with McGill University.

The overall objective of this inter-institutional collaboration is to achieve a 10 times gain in efficiency and stability of CO2-to-fuel electrocatalysis using AI accelerated design methods.

This is being accomplished by providing AI driven electrochemical atomic force microscopy (EC-AFM) data acquisition and analysis, automated AI algorithms for correlating efficiency and lifetime improvements with spectroscopic surface features ().

This RA position will focus on AI driven correlations between modelling prediction descriptors of the electrochemical activity and observable AFM & spectroscopy features to drive robust reaction design solutions.

In particular, the position is focused on executing machine learning driven atomistic simulations of chemical ordering and reaction pathways.

The resulting the solid-liquid interfacial properties determined from atomistic simulations will be directly compared with state-of-the-art experimental measurements at McGill University and its resulting impact on electrocatalytic performance.

Hence, extensive atomistic simulation and machine learning experience is essential. General experimental knowledge is preferred for the purposes of facilitating collaborative dynamics.

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

As part of the RA Program you must have received your PhD in Physics, Materials Science, Engineering (Electrical or chemical), Chemistry or Computer Science 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

  • Experience in analysis, interpretation and integration of computational materials science.
  • Experience in conducting research or technical activities dealing with machine learning.
  • To prove their experience the interested candidates should include a list of pertinent activities and / or publications.

    Condition of Employment

    Reliability Status

    All employees of the National Research Council are required to be fully vaccinated against COVID-19 and attest to their vaccination status unless accommodated based on a medical contraindication, religion, or another prohibited ground of discrimination as defined under the Canadian Human Rights Act.

    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 materials science and machine learning;
  • Ability to execute machine learning driven materials science calculations.
  • Strong research and writing skills to develop research ideas and support documentation of research deliverables.
  • Behavioural Competencies

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

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

    View all competency profiles

    Relocation

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

    Compensation

    The intent of this hiring action is to staff through the Research Associate (RA) Program at the RCO-2 / AsRO level, which is an early-career level position with a salary range of $73,133 to $101,569 .

    NOTE : Salary determination will be based on a review of the candidate’s expertise, outcomes and impacts of their previous work experience relative to the requirements of the level.

    As a guide, the current annual PhD recruiting rate is $73,133.

    NRC employees enjoy a wide-range of competitive benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.

    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.

  • 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 .

  • 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 (15509) to : E-mail : Telephone : 343-552-7798 Closing Date : 28 January 2022 - 23 : 59 Eastern Time For more information on career tools and other resources, check out Career tools and resources

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