EDF Lab Singapore Pte Ltd – Machine Learning, Energy Finance & Energy Market Intern

Key responsibilities

• Energy Market: To conduct study of the power markets, including identifying target market, research of market regulations, competitor analysis, etc. Adapt the existing tools for the revenue assessment for renewable projects, including energy storage, load flexibilities, etc.
• Energy Finance: To identify use case in regional markets for existing in-house tools (including position hedging, load forecasting and assets optimization) and to adapt the tools for potential commercialization in regional markets. To achieve this task, you are expected to (1). review the state-of-the art of the tools. (2). compare the performance of different models/tools. (3) adapt the models to different applications in the various power markets.
• Liaise with the industrial partners to develop research topics related to the power market in Singapore.
• Support the business development activities for risk management tools and energy management tools

• Any other ad-hoc duties assigned by the supervisors

Requirements

• Bachelor’s degree or higher in electrical engineering, mathematics, computer science, or other related discipline
• Strong interest or experience in machine learning and programming (e.g. Python, R)
• Passionate about renewable energy industry, energy transition, energy finance and power market
• Strong written, verbal, and interpersonal communication skills
• Able to commit at least 6 months (full-time) or 10 months (part-time).