Renewable Energy Power Generation Forecaster
6 days ago
Imagine working with cutting-edge machine learning models, crunching high-frequency data sets, and collaborating with exceptional colleagues who share your passion for innovation. As a Weather Researcher at Alipes ApS, you will be part of our esteemed modeling team, responsible for developing machine learning models that accurately predict short-term weather patterns and power production from renewables.
We value collaboration and technical discussions, encouraging our team members to take ownership of their work and contribute to the direction of the team. With a flat hierarchy and high levels of trust and autonomy, you will have the freedom to prioritize your work and choose the tools that get the job done.
About the Role:
Team OverviewOur team is comprised of exceptional quantitative analysts from diverse backgrounds, covering six nationalities. We prioritize delivering high-quality results and welcome bright and ambitious individuals who share our passion for machine learning and weather forecasting.
As a Weather Researcher, you will work closely with our software development and economist teams to implement and conceive mathematical models that drive our business forward.
- You will develop machine learning models that accurately predict short-term weather patterns and power production from renewables
- You will collaborate with our software development team to implement mathematical models
- You will work with our economist team to conceive and execute trading strategies
About You:
- You have experience with ML/AI/Neural-based weather forecasting (GraphCast etc)
- You possess deep learning and neural networks expertise
- You hold a PhD or MSc degree in engineering, physics, computer science, or a relevant field
What We Can Offer:
- Flat hierarchy and high levels of trust and autonomy
- Exciting problems to solve
- Collaborative team made up of really smart and curious people
- Nice office in Nordhavn with a hybrid work model
- Pension, Health Insurance, and 30 days of vacation
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