Technical Officer, Advanced Construction and Data Analytics

National Research Council Canada•Ottawa, ON

4d•CA$83,435 - CA$107,838•Hybrid

About The Position

The National Research Council (NRC) is seeking a Technical Officer to support its Construction Research Center. This role is crucial for advancing research and operations in industrialized and digitalized construction, focusing on areas such as construction digitalization, robotics, digital fabrication, and data-driven performance analysis. The successful candidate will be part of a multidisciplinary team, contributing to the design, planning, execution, and analysis of complex experiments and tests. Responsibilities include the integration, management, and interpretation of technical and operational data, as well as data collection, processing, analysis, and visualization to support digital twin development and data integration across robotics, IoT, and BIM platforms. The role also involves establishing and maintaining key performance indicators (KPIs), conducting productivity and efficiency benchmarking, and supporting the development of real-time analytics tools for predictive decision-making and process optimization.

Requirements

College diploma in construction automation, robotics, mechatronics, or data engineering.
Significant experience providing technical support in research, testing, or operational environments related to construction automation, robotics, or digital fabrication.
Demonstrated experience in data acquisition, integration, and analysis, including the use of sensors, IoT systems, and cloud-based data platforms.
Experience with productivity and performance benchmarking, including the use of KPIs, real-time analytics, or predictive decision-making tools.
Hands-on experience operating and maintaining laboratory or industrial equipment, such as robotic systems, automated machinery, or digital manufacturing tools.
Proficiency in data acquisition, integration, and analysis, including processing and visualization of experimental and operational datasets.
Ability to perform productivity, efficiency, and maturity benchmarking using KPIs and real-time analytics to support predictive decision-making.
Strong understanding of construction automation, robotics, and digital fabrication principles.
Practical knowledge of hardware–software integration, including control systems, sensors, and IoT devices.
Capability to prepare technical reports, documentation, and data visualizations for internal and external stakeholders.
Knowledge of project planning, testing protocols, and quality assurance in research and development settings.
Reliability Status

Nice To Haves

Additional training or certification in robotics automation, Building Information Modelling (BIM), IoT systems, or data analytics.
Experience using BIM tools, simulation software, or digital twin environments to support design, monitoring, or process optimization.
Experience with AI or machine learning applications for performance analysis or workflow optimization.
Working knowledge of AI and machine learning applications for process optimization and performance analysis.

Responsibilities

Advance research and operations focused on construction digitalization, robotics, digital fabrication, and data-driven performance analysis.
Contribute to the design, planning, execution, and analysis of complex experiments and tests.
Integrate, manage, and interpret technical and operational data.
Perform data collection, processing, analysis, and visualization to support digital twin development and data integration across robotics, IoT, and BIM platforms.
Establish and maintain key performance indicators (KPIs).
Conduct productivity, efficiency, and maturity benchmarking for industrialized construction workflows.
Support the development of real-time analytics tools that enable predictive decision-making and process optimization.