JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	Student, Advanced Technology Research
Job Location:	Toronto, ON
Job Location Type:	Hybrid - 2 days a week in office
Number of Positions:	1
Salary:	Salary Not Available, 35.0 hours per week
Start Date:	05/06/2024
End Date:	04/25/2025
Job Function:	Engineering
Job Description:	Independent Electricity System Operator (IESO)   The position is normally based out of our Clarkson office in Mississauga, ON. The successful candidate may be required to use their personal equipment for remote work purposes.   Due to the IESO's role in the energy sector, please note that a full security check will be conducted.  Job offers will be conditional until you have successfully attained security clearance to work at the IESO. Why join us?   You've got great skills. And you want to use them in an organization where you know what you do every day matters. We get that.   We also know that ensuring Ontarians have access to affordable and reliable power doesn't happen by accident. So we give you the tools, flexibility and support you need to achieve your goals, and development opportunities to help you grow. You'll thrive in a collaborative, team-based environment that values your unique skills and experiences - and recognizes that when you do better, we become even better too.    Who we are   The Independent Electricity System Operator (IESO) works at the centre of the province's power system, ensuring Ontarians have access to reliable and cost-effective electricity when and where they need it. We operate the province's electricity grid 24/7, design, run and oversee the wholesale electricity markets, and plan and prepare to meet Ontario's electricity needs - now and into the future.   The opportunity Division/Department:  Corporate Relations, Stakeholder Engagement and Innovation Division, Advanced Technology Research Section You will be a part of a group responsible for: The Advanced Technology Research group resides within the IESO's Corporate Relations, Stakeholder Engagement and Innovation Division and has a number of responsibilities, including: Internal coordination on emerging technology issues Assisting the management reporting for various energy storage-related research programs including hybrid energy storage systems Assisting the research and development activities related to the IESO's Ancillary Services contract portfolio for various power quality and reliability services provided to the IESO-controlled grid. Assessing the operational potential of new technologies such as energy storage and distributed energy resources. Conducting research and providing a technological outlook and technology summary reports Data science and data analytic functions, including support of machine learning throughout all stages of the research and development lifecycle What you'll do Research and apply advanced statistical methods that may include machine learning algorithms in the energy industry Analysis, preparation and management of data Researching other electricity markets and their operations in jurisdictions such as PJM, ERCOT, NYISO and MISO. Administering the research components of pilot projects involving various grid technologies Compiling reports to support various research experiments involving energy storage facilities in live operations with the Ontario bulk electricity system. Being a liaison with energy storage proponents and compiling the relevant materials to provide updates to management. Assisting in performance benchmarking and validation of various emerging technologies Various, ad hoc research assignments and literature surveys as needed related to emerging technologies and grid services. This job will provide you with the following professional development: Data science and related disciplines An understanding of emerging technologies and their operations The process involved in integrating emerging technologies into Ontario's power system Research skills, data analysis and synthesis of management-level decision support information. Exposure to the Ontario power system.
Job Requirements:	What you need to succeed Discipline(s) Required:  Mathematics, Computer Science and/or Electrical Engineering    The following knowledge is essential in order to perform the job:  Experience with Windows and Microsoft Office Suite. Experience with advanced Microsoft Excel functions including nested and array formulas an asset Experience with databases, such as Microsoft Access and Structured Query Language (SQL) an asset Experience with Tableau software an asset. Experience with PI Process Book an asset Matlab, Julia, R, or Python programming experience an asset Experience with the following Python packages including: Pandas, NumPy and scikit-Learn an asset Experience with data wrangling large datasets (i.e. >1 million rows). Good foundational understanding of statistics Experience with formulating optimization problems including formulating objective function, decision variables and constraints considered an asset Electrical engineering knowledge an asset Creativity Duration: 12 months What's in it for you A comprehensive total rewards program, including best-in-class benefits and a flexible workplace A challenging, fast-paced and collaborative team environment, where your perspectives and experiences matter Leaders who support your growth and success through regular feedback and coaching The opportunity to work with some of the brightest minds in the industry At the IESO, we know that achieving great results depends on embracing diversity by attracting, developing and retaining people from a wide variety of backgrounds. We do this by ensuring our recruitment and advancement policies are fair and equitable, and by creating an accessible and inclusive environment - one that values every team member's unique skills and experiences and ensures they have the support they need to achieve their potential. If you require accommodation during the recruitment process, please let us know.   We thank you for your interest in a career at the IESO, but we will only contact those candidates selected for an interview.   Note: The successful candidate must be eligible to work in Canada and will be subject to a background check.
Preferred Disciplines:	Computer Engineering Electrical Engineering Engineering Science (Electrical and Computer) Engineering Science (Energy Systems) Mechanical Engineering
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Oct 29, 2023 11:59 PM
Application Receipt Procedure:	Online via system
Additional Application Information:	Application Instructions Please submit your resume, cover letter, and a copy of your msot recent unofficial transcript through your school's portal. The IESO offers a hybrid work model program to most of our employees, based on business needs. Individuals participating in the program can work an average of three days per week remotely within Ontario. It also offers three flex weeks when individuals can work remotely within Ontario. When working in the office, you will be located at our Mississauga location.  Join our talent community Sign up for talent community; stay in touch, find out about new opportunities - and discover how you can make a difference. Discover how we use our expertise and commitment to deliver reliable and affordable electricity to Ontario's businesses and communities, and how we're innovating to secure a stronger energy future for all Ontarians. Visit Careers at IESO and be sure to follow us on LinkedIn. Find out why we were selected as Greater Toronto's Top 2023 Employers, and what we offer.
U of T Job Coordinator:	Ehsan Salami

ORGANIZATION INFORMATION
Organization:	The Independent Electricity System Operator (IESO)
Division:	Human Resources
Website:	ieso.ca

ADDITIONAL INFORMATION
Length of Workterm:	FLEXIBLE PEY Co-op: 12-16 months (range)