This person will report directly to the Manager, Resource Planning and support all aspects of resource and generation planning, including completing technical and economic system studies related to generation additions and retirements, reliability studies, and load growth analyses. In the role of Engineer-in-Training, you will be joining a world-class team that is committed to energizing Nova Scotia, developing our electricity system, and keeping the lights on.
Responsibilities
Support the ongoing development, maintenance, and validation of the IESO-NS PLEXOS capacity expansion and production cost simulation models
Coordination and execution of medium and long-term studies related to introduction of new technologies, unit retirements, system demand configurations, and potential system dispatch improvements
Supporting and participating in long term integrated resource planning studies and projects
Join and support the analysis of NPCC and/or NERC committees and technical working groups, representing IESO-NS
Provide support for regulatory filings as required through modeling, responding to interrogatories, and preparing inputs to analyses and economic models
Work with large data sets and analyzing trends and forecasts
Translate modelling data and results into transparent, user-friendly summaries, reports, and visualizations.
You are
A university graduate with a degree in industrial or electrical engineering, or a similar field
Actively registered or eligible to register as an Engineer-in-Training with Engineers Nova Scotia
A highly motivated self-starter who takes initiative
Well organized and invested in the details
Intellectually curious
A critical thinker able to manage complex information
Able to prioritize and manage multiple projects simultaneously
Proficient in Microsoft 365
Comfortable working and thinking independently as well as part of a team
Extra awesome if you also have
Experience in electrical utility / industry resource planning settings
Previous experience with generation dispatch models, energetic programming and deterministic as well as linear and integer optimization algorithms
What we offer
Competitive benefits and paid time off
Smart, collaborative team members
The ability to work remotely 1 day per week
A competitive salary commensurate with your experience
A chance to make a big impact on Nova Scotia’s energy future!
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