Machine Learning Researcher in Renewable Energy
3 days ago
Alipes ApS is a leading company in the field of renewable energy and machine learning. As a Machine Learning Researcher in Renewable Energy, you will be responsible for developing and implementing cutting-edge weather forecasting models to support our trading strategies.
The role involves working with massive datasets of weather data to create accurate short-term weather predictions and power production forecasts from renewables. You will be part of a tight-knit team of quantitative analysts covering 6 nationalities, with expertise in statistical analysis, mathematical modeling, and machine learning.
We are looking for a highly skilled professional with experience in ML/AI/Neural-based weather forecasting, Deep Learning, and Neural Networks. A PhD or MSc degree in engineering, physics, computer science, or a relevant field is required. Additionally, proficiency in Python programming, particularly data-wrangling and numerical programming, is essential.
This is an excellent opportunity to work on exciting problems, collaborate with a talented team, and contribute to the development of innovative solutions in renewable energy.
- Experience with ML/AI/Neural-based weather forecasting (GraphCast etc)
- Experience with Deep Learning and Neural Networks
- PhD or MSc degree in engineering, physics, computer science or relevant field
- Familiar with terms like ECMWF IFS, HRRR, GFS, GOES etc.
- Proficiency within computer science fundamentals, mathematics and statistics
- Programming experience with Python, in particular data-wrangling and numerical programming
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