Postdoctoral Researcher in Solar Radiation Prediction

Il y a 2 mois


Sophia Antipolis, Provence-Alpes-Côte d'Azur, France Université Paris Dauphine - PSL Temps plein

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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