Your Role
As part of our growing research team, you will work on the design and transformation of regional electricity markets to support the energy transition. Your focus will be on energy market design, regulatory analysis, and energy policy — with the opportunity to apply economic modelling and Python-based analytics. You will contribute to flagship projects including 24/7 Carbon-Free Energy, ASEAN cross-border electricity trade, and data centre decarbonization strategies.
You’ll help EDF and our partners explore how energy market design and technology can accelerate the path to carbon neutrality.
You will both lead and support R&D initiatives with high visibility, collaborating with public agencies, private partners, and EDF entities across Asia and Europe.
Key responsibilities
- Conduct energy market and regulatory analysis across key electricity markets (e.g., Singapore, Australia, Japan, Vietnam), especially on topics such as:
- Renewable Energy Certificates (RECs)
- Cross-border electricity trade
- Data centre energy procurement
- Investigate new business models and partnership opportunities for EDF in the data centre sector.
- Assess climate risks and the impact of extreme weather on renewable energy portfolios.
- Contribute to qualitative and quantitative analysis for 24/7 Carbon-Free Energy initiatives.
- Perform energy load and price forecasting and project viability assessments using power market simulation tools.
- Apply and adapt Python-based open-source modelling tools such as PyPSA to simulate regional electricity markets and assess policy impacts, economic viability, and system flexibility.
- Coordinate with EDF partners, government agencies, and R&D stakeholders in the region.
- Contribute to internal reports, white papers, and public-facing studies.
Requirements
- Master’s degree in Economics, Energy Policy, Engineering, Finance, Mathematics, or a related discipline
- Minimum 3 years of experience in electricity markets, policy research, data analysis, or energy finance
- Experience with regional electricity markets (e.g., Singapore NEMS, Australian NEM, Japan, Vietnam, etc.)
- Familiarity with renewable energy policies, climate impact assessments, and REC standards
- Experience with Python, especially for energy system modelling (e.g., pandas, NumPy, matplotlib; familiarity with tools like PyPSA, PLEXOS, or similar frameworks is a plus)
- Basic understanding of machine learning techniques and how they support scenario analysis or forecasting
- Preferred but not required: Knowledge of financial and energy economics concepts (e.g., asset valuation, risk metrics, hedging strategies)
- Excellent writing, communication, and presentation skills (e.g., technical reports, tender proposals, internal memos)
- Comfortable working in a diverse, international, and cross-disciplinary environment