Job opportunity
Research Officer in Self-driving Laboratories for Accelerated Process Optimization for Clean Energy
Automotive and Surface Transportation
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Research Officer in Self-driving Laboratories for Accelerated Process Optimization for Clean Energy
Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.
Candidates are asked to self-declare when applying to this hiring process.
OrganizationalUnit: Clean Energy Innovation
Classification: RO
Work arrangements:
Due to the nature of the work and operational requirements, this position will require full-time physical presence at the NRC work location identified.
At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.
The role
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
Ph.D. in Chemistry, Physics, Engineering, or similar domain.
Experience** with concepts of laboratory automation and/or hands-on experience working with automated equipment in the context of clean energy technologies
Experience** with AI/ML approaches and data science, in particular as it relates to their application with experimental data and/or experimental optimization
Significant*** experience in the preparation of scientific publications and new research proposals
Recent* experience in mineral processing and extractive metallurgy, with a focus in extraction and purification
Recent* experience in leading research projects involving a multidisciplinary team. Experience working in an agile environment would be considered
an asset
Experience** with robotics and mechatronics would be
an asset
* Recent experience is defined as within the last three (3) years.
** Experience is defined as one (1) to three (3) years of experience.
*** Significant experience is defined as three (3) to five (5) years of experience.
Condition of employment
Reliability Status
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Apply on source site Research Officer in Self-driving Laboratories for Accelerated Process Optimization for Clean Energy
Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
* The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.
Candidates are asked to self-declare when applying to this hiring process.
OrganizationalUnit: Clean Energy Innovation
Classification: RO
Work arrangements:
Due to the nature of the work and operational requirements, this position will require full-time physical presence at the NRC work location identified.
At the NRC, we recognize that Indigenous candidates may have important connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC Hiring team using the contact information below.
The role
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
Ph.D. in Chemistry, Physics, Engineering, or similar domain.
Experience** with concepts of laboratory automation and/or hands-on experience working with automated equipment in the context of clean energy technologies
Experience** with AI/ML approaches and data science, in particular as it relates to their application with experimental data and/or experimental optimization
Significant*** experience in the preparation of scientific publications and new research proposals
Recent* experience in mineral processing and extractive metallurgy, with a focus in extraction and purification
Recent* experience in leading research projects involving a multidisciplinary team. Experience working in an agile environment would be considered
an asset
Experience** with robotics and mechatronics would be
an asset
* Recent experience is defined as within the last three (3) years.
** Experience is defined as one (1) to three (3) years of experience.
*** Significant experience is defined as three (3) to five (5) years of experience.
Condition of employment
Reliability Status
#J-18808-Ljbffr