Postdoctoral Researcher in Solar Radiation Prediction
Il y a 2 mois
About Université Paris Dauphine - PSL
Université Paris Dauphine - PSL is a leading research university renowned for its excellence in economics, finance, law, and social sciences. As part of the prestigious PSL University network, it fosters a vibrant intellectual community dedicated to pushing the boundaries of knowledge.
The O.I.E. Center: Advancing Renewable Energy Research
The O.I.E. Center (Energy, Environment, and Earth Observation) is a joint research team at MINES Paris - ARMINES, dedicated to exploring the intersection of energy, environment, and data science. Our work focuses on developing innovative solutions for a sustainable future.
Your Role: Shaping the Future of Solar Energy Prediction
We are seeking a highly motivated Postdoctoral Researcher to contribute to our cutting-edge research in solar radiation prediction. You will play a key role in developing novel data-driven approaches to enhance the accuracy and reliability of short-term solar energy forecasts.
Key Responsibilities:
- Conduct a comprehensive literature review on physically informed supervised methods for solar radiation prediction from satellite imagery.
- Develop innovative algorithms to leverage satellite data for accurate short-term solar energy forecasting.
- Identify and mathematically express physical constraints relevant to satellite imagery analysis.
- Process and analyze large datasets of satellite images and meteorological model outputs.
- Collaborate effectively with a multidisciplinary team of researchers.
Qualifications:
- A Ph.D. in a relevant field such as data science, solar energy, atmospheric sciences, meteorology, or remote sensing.
- Proven expertise in applying data science techniques to solar energy or related domains.
- Strong programming skills in Python, C, and C++ on Linux and Windows environments.
- Solid understanding of modeling, data analysis, and machine learning principles.
- Excellent written and spoken English communication skills.
Join Our Research Community:
This is an exciting opportunity to contribute to groundbreaking research at the forefront of renewable energy. If you are passionate about data science and sustainability, we encourage you to apply.
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