Research Officer in Artificial Intelligence and

7 days ago

Mississauga, Ontario, Canada National Research Council Canada Full time
Great Minds. One Goal. Canada's Success.


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.


You will be responsible for all aspects of the machine learning process, from data cleaning and preprocessing to model training, optimization, and deployment.

As we are looking to greatly expand our capabilities here, there will be opportunities to explore, suggest, and develop new machine learning models that fit various needs across a wide range of materials science objectives at EME-Mississauga.

You will also either be responsible and/or work with software developers to integrate machine learning models.


You will also support the advancement of the IT and HPC infrastructure necessary to enable this paradigm shift in materials discovery by participating in pilot programs to test use case studies on proposed corporate solutions.


You will be involved in the development of new research proposals, management of research projects, maintenance of research partnerships with external academic, industrial and government collaborators and supervision of junior staff, students and vendors.

Being in a dynamic position means that the workdays are always evolving, challenging and motivating.

You are a self-starter who can excel in an evolving and exciting R&D environment and provide input into the direction and priorities of R&D activities that will be set forth by this new initiative in Mississauga.

If you are that person, this may be the perfect role for you

Screening Criteria:

Education:

PhD in Engineering (e.g. Chemical, Materials, Mechanical, or equivalent), Computer Science, Computer Engineering, Chemistry (computational), Physics or similar domain.

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

Experience:

  • Recent experience working in multidisciplinary teams and overseeing the activities of other researchers, students, technicians and vendors.
  • Development and implementation of machine learning and deep learning algorithms, in particular as it relates to generative modeling, active learning, reinforcement learning, and optimization.
  • Significant experience in developing metrics and assessing performance and accuracy of the models, including feature engineering over various levels of data fidelity.
  • Experience building and maintaining databases of materials science data (experimental, theoretical, or other) and developing tools for data cleaning, preprocessing, and analysis.
  • Experience with managerial research activities including project management, data production and analysis, and reporting through written documentation, presentations and publishing.
  • Proficiency working with software development tools (eg. Git).
  • Up to date on the latest developments in AI and ML research and applies them to materials discovery.

Assets (One or many of the following):

  • Proficiency deploying machine learning techniques toward performance enhancements for multi-physics simulation methods (e.g. finite element, computational fluid dynamics, molecular dynamics, or others).
  • Experience working with image processing, recognition, and computer vision techniques.
  • Experience working with large language models for scientific knowledge aggregation.

Condition of Employment:

Reliability Status

Language Requirements:

English

Information on language requirements and self-assessment tests

Assessment Criteria:

Technical Competencies:

  • Proficiency in programming languages commonly used in AI research, such as Python, and experience with relevant libraries (TensorFlow, PyTorch, scikitlearn, etc.).
  • Proficiency in creating meaningful visualizations of materials data and model outputs to aid in data exploration and communication of research findings.
  • Ability to communicate scientific concepts clearly to both expert and lay audiences.
  • Ability to lead and manage research projects and lead a technical research team.

Behavioural Competencies:


 Research
  • Communication (Level 2)


 Research
  • Selfknowing and selfdevelopment (Level 3)


 Research
  • Creative thinking (Level 3)


 Research
  • Teamwork (Level 2)

Competency Profile(s):

Compensation:


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


The NRC Advantage:


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 o

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