Senior Power Flow Scientist - Real-Time Grid Modeling Remote

GRIDSIGHT; Coniston; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

ESOP

WFH allowance

Health and wellness allowance

Bi-annual in person working weeks

Lunch provided in office

Job summary

Gridsight is building a next-generation energy software platform to help electricity grids operate more efficiently with data, ML and AI. You will design, implement and run AC and DC power flow simulations to understand and manage modern dynamic grids.

You will forecast grid state, assess connection applications for renewables and work in a team focused on scalable, near-real-time optimization with deep grid domain knowledge.

Qualifications

• 5+ years in data science/electrical engineering/optimisation roles with demonstrated impact
• Deep experience with AC optimal power flow calculations (AC-OPF) using OpenDSS, pandapower or lf-energy
• Experience with state/parameter estimation for energy networks or fitting high-dimensional models
• Strong data science foundations: statistical modeling, numerical programming, algorithm design, data analysis
• Software engineering proficiency: Python for power flow algorithms and data analysis; CI/CD, testing, code review

Responsibilities

• Implement, adapt or develop AC and DC power flow engines for grid modelling and forecasting
• Build scalable power flow modelling software for real-time or near-real-time operation
• Solve AC OPF problems related to grid operations, resource dispatch and network management
• Run, tune and debug both balanced and unbalanced load flows
• Develop and run software for state estimation, network parameter estimation and mapping

Skills

Power flow

Python

Data science

OpenDSS/pandapower

CI/CD

Tools

OpenDSS

pandapower

Databricks

Job description

Gridsight is building a next-generation energy software platform to help electricity grids operate more efficiently with data, ML and AI. You will design, implement and run AC and DC power flow simulations to understand and manage modern dynamic grids.

You will forecast grid state, assess connection applications for renewables and work in a team focused on scalable, near-real-time optimization with deep grid domain knowledge.