Postdoctoral Researcher in Solar Energy

il y a 1 mois


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

Work Environment

Our institution is a prominent member of PSL University, situated in the vibrant city of Paris. It encompasses a wide array of disciplines, fostering innovation and creativity. Recognized among the top 50 universities globally, it nurtures researchers, artists, engineers, entrepreneurs, and leaders who are conscious of their social, individual, and collective responsibilities.

Hosting Structure

Mines Paris stands as one of France's leading engineering schools, providing a comprehensive educational experience that merges engineering with social sciences. As part of PSL University, which holds a top 50 international ranking, it offers a stimulating academic environment.

Role Overview

Your Environment:

The O.I.E. Center is a collaborative research team at MINES Paris - ARMINES, dedicated to the fields of energy, environment, and Earth observation.

The Center's initiatives are focused on three primary areas:


• Advancing energy-specific meteorology for the assessment and forecasting of renewable resources, particularly solar energy;


• Evaluating and supporting decision-making processes to mitigate the environmental, social, and economic impacts of transportation, energy production, and consumption;


• Sharing scientific data through web services in a collaborative international framework.

The research conducted at the O.I.E. Center is integral to the evaluation, modeling, and utilization of renewable energy resources across time.

Your Challenges and Responsibilities:


• Perform a comprehensive literature review on physically informed supervised methodologies for predicting solar radiation from satellite imagery.


• Innovate new strategies to enhance supervised algorithms for short-term predictions utilizing satellite data.


• Identify and articulate physical constraints relevant to satellite imagery mathematically.


• Manage extensive datasets (satellite images and meteorological model outputs) for practical application.


• Collaborate effectively with colleagues in a highly interdisciplinary and multicultural setting.

Research Insights

Essential Qualifications

Let's discuss your profile...

You possess:

A Ph.D. with a strong interest in data science, solar resource evaluation, and its application in renewable energy.

  • Demonstrated expertise in applying data science to solar energy or related disciplines (atmospheric sciences, meteorology, remote sensing);
  • Proficiency in modeling, data analysis, and programming in Python, C, C++ on both Linux and Windows platforms;
  • Strong foundation in data science methodologies;
  • Prior knowledge in solar resources, atmospheric science, or meteorology;
  • Excellent command of spoken and written English is essential.

The key competencies sought for this role include:

Technical Knowledge and Skills:

Data Science

Applied Mathematics

Modeling and Data Analysis

Programming in Python, C, C++ on Linux and Windows

Interpersonal Skills:

  • Ability and enthusiasm for collaboration within interdisciplinary and multicultural teams;
  • Demonstrated independence and a strong passion for conducting scientific research.

...Additionally, working at Mines Paris means:


• Being part of a prestigious institution with a rich legacy;


• Contributing to the digital and carbon-neutral transition to tackle climate challenges;


• Being affiliated with an institution within PSL University, ranked 41st in the Shanghai global rankings.



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