Electrical Engineer
About the role
The Role
Overview
We are seeking an experienced Electrical Engineer to join our growing Power, Data and Innovation team. This role will be responsible for key modeling responsibilities at the intersection of power systems engineering, power market economics, and applied predictive analytics to support Carbon Direct's mission of accelerating decarbonized power advisory business. You will work with the team of mechanical/chemical engineers, economists, energy modelers, technology experts, and applied researchers: contributing to client engagements, analyses, and the enhancement of our power systems modeling offerings. This role requires strong skills in translating and presenting complicated technical analyses to our external clients and internal leadership team.
Qualifications
Required:
- Master's or Ph.D. degree in Electrical Engineering with experience in managing/leading internal/external clients in the electric power industry, preferably consulting, advisory, corporate and/or data centers
- Proficiency in transmission models (N-1 reliability, SCUC, SCED), AC/DC power flow models and their applications in market operations, congestion management and capacity planning, including steady-state and dynamic modeling of the transmission networks using industry standard tools such as PSS/E, PowerWorld or PSCAD
- Familiarity in working with production-cost models such as PyPSA, PROMOD, Plexos, AURORA for simulating generation dispatch, market clearing and system operations.
- Significant modeling expertise on wholesale electricity markets and/or grid operations in the North America and the EU markets and deep familiarity with energy market rules and structures (ISOs/RTOs), capacity markets, resource adequacy frameworks, and reliability standards
- Multi-year experience working across multidisciplinary teams, strong written and verbal communication skills, including the ability to present complex analytics to non-technical stakeholders
Preferred:
- Proficiency in statistical modeling, forecasting, and data analysis (Python, R, MATLAB, or equivalent)
- Experience modeling energy storage systems (both SDES/LDES), geothermal, DERs/microgrid technologies, EV, building electrification, or industrial decarbonization