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AI Computational Developer

Reference Number
RSN23J-130307-000107

Selection Process Number
2023-RSN-EA-EETS-598330

Organization
Natural Resources Canada

Year
2023-2024

Days Open
14

Classification
PC03

City
Hamilton

Type
External

Quick Summary

Total
66

Employment Equity
33 (50%)

Screened out
24 (36.4%)

Screened in
42 (63.6%)

Applicant Submissions (66)

Employment Equity 50% 33

Screened Out 36.4% 24

Screened In 63.6% 42

Employment Equity(33)

Women 13.6% 9

Visible minority 47% 31

Indigenous 0% 0

People with disabilities 0% 0

Language

English 0% 0

French 0% 0

Status

Citizens 43.9% 29

Permanent Residents 0% 0

Archived Job Poster

AI Computational Developer

Reference number: RSN23J-130307-000107
Selection process number: 2023-RSN-EA-EETS-598330
Natural Resources Canada - Energy Efficiency and Technology Sector, CanmetMATERIALS-Hamilton
Hamilton (Ontario)
PC-03
$89,861 to $106,933

For further information on the organization, please visit Natural Resources Canada

Closing date: 8 November 2023 - 23:59, Pacific Time

Who can apply: Persons residing in Canada, and Canadian citizens and Permanent residents abroad.

Important messages

We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.

Assessment accommodation

You must meet all essential qualifications to be appointed to the position. Other qualifications may be a deciding factor in choosing the person to be appointed. Some essential and other qualifications will be assessed through your application. It is your responsibility to provide appropriate examples that illustrate how you meet each qualification. Failing to do so could result in your application being rejected.

In your response to the screening questions, please provide concrete examples and the following information:
1. Name of the department or organization where the experience was acquired;
2. Title of the position occupied and duration for which you exercised the functions;
3. Specific details of tasks, projects, or accomplishments demonstrating how the experience was acquired.

Please note that point form, “copy and paste” from your resume and comments such as “refer to my attached resume” will NOT be accepted. Failure to provide this information in the requested format WILL result in your application being rejected.

*NOTE: Please note your application and your answers to the screening questionnaire may be used to assess your ability to communicate effectively in writing.

Duties

In consultation with CanmetMATERIALS’ scientists, and other stakeholders, the incumbent will develop and implement machine learning algorithms to develop physical and virtual autonomous research processes and enhanced techniques for materials and materials process development. The incumbent will process, analyze, and interpret data, report results and perform other required scientific and technical work under the guidance of technical and project leads.

Work environment

This position is located in Hamilton, Ontario. CanmetMATERIALS is a materials research facility that provides world class R&D in partnership with universities and industry.

Intent of the process

The intent of this process is to staff one (1) determinate position located in Hamilton, Ontario.

A pool of fully or partially qualified candidates may be established through this process to staff identical or similar positions within Natural Resources Canada with various tenures (determinate period or indeterminate), various language requirements, various security requirements, various conditions of employment and for various locations.

Positions to be filled: 1

Information you must provide

Your résumé.

In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

EDUCATION:
• Graduation with a degree from a recognized post-secondary institution in physics, chemistry, materials engineering, or some other specialty relevant to the duties of the position.

Degree equivalency

EXPERIENCE:
• Experience utilizing machine learning techniques applied to materials data
• Experience in analysis of materials data as it pertains to structure, properties or processing of materials.

If you possess any of the following, your application must also clearly explain how you meet it (other qualifications)

ASSET QUALIFICATIONS

EXPERIENCE:
• Experience working on high performance computing systems such as GPU systems, clusters and utilizing job queues.
• Experience in applying modeling and AI tools to transport modeling in electrochemical systems such as batteries or fuel cells.
• Experience programming in other languages besides Python, such as C/C++, Fortran, etc..

OPERATIONAL REQUIREMENTS:
• Must be willing and able to work off site when required.

The following will be applied / assessed at a later date (essential for the job)

Various language requirements
English essential

Information on language requirements

KNOWLEDGE:
• Knowledge of machine learning and artificial intelligence methods and libraries.
• Knowledge of programming in the Python programming language.
• Knowledge of approaches to link model results to physical properties/processes.
• Knowledge of materials structure, property and processing relationships.

ABILITIES:
• Ability to manage and automate workflows.
• Ability to work with structured data for incorporation into automated workflows.
• Ability to develop and implement autonomous algorithms for data analysis on experimental or simulation data.
• Ability to design modular and structured software.
• Ability to communicate effectively.

PERSONAL SUITABILITY:
• Organized
• Initiative
• Works well with others
• Works well under pressure and with changing priorities
• Demonstrates good judgement and problem solving skills

The following may be applied / assessed at a later date (may be needed for the job)

ASSET QUALIFICATIONS

KNOWLEDGE:
• Knowledge of database utilization and interfacing with API middleware for data manipulation.
• Knowledge of Active learning methodology and Bayesian inference.
• Knowledge of feature engineering in the context of generating AI/ML models.
• Knowledge of modeling strategies for modeling time series data.
• Knowledge of evolutionary training processes such as genetic algorithms.
• Knowledge of degradation processes in electrochemical systems.
• Knowledge of numerical methods for solving partial differential equations, such as finite difference, finite volume, spectral and finite element methods.

Conditions of employment

Reliability Status security clearance

Other information

The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.

Information on employment equity

Reference checks may be sought.

An interview may be administered.

A test may be administered.

You must provide proof of your education credentials.

Persons are entitled to participate in the appointment process in the official language(s) of their choice.

A random and/or top down selection of candidates may be used in the determination of those to be given further consideration in the assessment process.

Preference

Preference will be given to veterans first and then to Canadian citizens and permanent residents, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.

Information on the preference to veterans

We thank all those who apply. Only those selected for further consideration will be contacted.

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