Matlab Remote-emplois à FR-Paris - La Defense ∙ Page 1

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Titre du poste :
Stage – Analyse long-terme des données de vent issues des SCADA (Onshore & Offshore) pour l’étude des effets du changement climatique

Localisation :
Paris La Défense (92) & École Polytechnique (Palaiseau)

Description du marché et contexte du poste :

Le marché de l’éolien, aussi bien terrestre que marin, est en pleine expansion à l’échelle mondiale. Cette croissance s'accompagne d’un besoin croissant de compréhension fine de la ressource éolienne dans un contexte de changement climatique. Siemens Gamesa Renewable Energy (SGRE), filiale de Siemens Energy, est un leader mondial dans la conception, l’installation et la maintenance d’éoliennes. SGRE s’associe au Laboratoire de Météorologie Dynamique (LMD) à l’École Polytechnique pour explorer l’évolution des caractéristiques du vent sur les 20 dernières années.

Le stage vise à analyser les données de vent enregistrées par des milliers d’éoliennes Siemens Gamesa (onshore et offshore) sur les 5 continents. L’objectif est d’étudier les tendances annuelles et pluriannuelles de l’intensité du vent (moyennes 10 minutes), de la direction du vent, et de la turbulence, et de mettre ces évolutions en lien avec les phénomènes climatiques globaux (comme El Niño, La Niña, ou la variabilité décennale).

Objectifs du stage :

• Traiter et structurer des volumes massifs de données SCADA sur les vents (vitesse 10min, direction, turbulence).
• Identifier des tendances climatiques longues sur l’évolution du vent à différentes échelles temporelles (saisonnier, annuel, décennal).
• Étudier les variabilités régionales et leurs liens avec les grands modes climatiques (ENSO, NAO, etc.).
• Comparer les données locales mesurées avec des réanalyses atmosphériques et modèles climatiques globaux.
• Explorer l’impact de certains événements climatiques (ex : forts El Niño) sur les régimes de vent dans différentes régions.
• Mettre en place des analyses statistiques avancées et des visualisations robustes.
• Contribuer à une meilleure compréhension physique de l’évolution de la ressource éolienne dans un climat changeant.

Profil recherché :

• Étudiant(e) en Master 2 ou dernière année d’école d’ingénieur.
• Formation en mécanique des fluides, énergie, climat, ou domaine connexe.
• Solide niveau en statistiques et analyse de données temporelles.
• Très bon niveau en programmation (Python et MATLAB requis).
• Connaissances en météorologie, dynamique de l’atmosphère et modes de variabilité climatique (ENSO, NAO, etc.).
• Intérêt pour l’éolien, la ressource en vent et les enjeux climatiques.
• Autonomie, rigueur scientifique, et esprit d’analyse.

Title:
Internship – Long-term Wind Data Analysis from SCADA Systems (Onshore & Offshore) to Assess Climate Change Impacts

Location:
Paris La Défense (SGRE) & École Polytechnique (LMD – Palaiseau, France)

Market Overview and Job Context

The global wind energy sector, both onshore and offshore, is experiencing rapid growth and is playing a key role in the energy transition. However, long-term shifts in wind resource patterns due to climate change are becoming an increasingly important concern. Siemens Gamesa Renewable Energy (SGRE), a Siemens Energy business unit and world leader in wind turbine manufacturing and maintenance, is launching a collaboration with the Dynamic Meteorology Laboratory (LMD) at École Polytechnique to address this issue.

The goal of this internship is to analyze SCADA wind data — including 10-minute average wind speed, wind direction, and turbulence intensity — collected from thousands of SGRE turbines located on all five continents over the past 20+ years. This work will assess long-term trends and interannual variability of wind characteristics and investigate their links with large-scale climate dynamics, such as ENSO (El Niño / La Niña), the North Atlantic Oscillation (NAO), and others.

This project sits at the intersection of industrial data science, fluid dynamics, and climate research, and is co-supervised by experts at SGRE and researchers at LMD.

Internship Objectives

• Process, structure, and analyze large-scale SCADA datasets focused on wind characteristics.
• Identify long-term trends in wind speed, direction, and turbulence intensity across different regions and time scales (seasonal, annual, decadal).
• Detect and characterize interannual to decadal variability, and assess links with known climate modes (ENSO, NAO, MJO, etc.).
• Compare local SCADA-derived wind data with outputs from reanalysis datasets and climate model simulations.
• Investigate the potential impacts of extreme climate events (e.g., strong El Niño years) on wind patterns in specific regions.
• Apply statistical and data science tools to reveal meaningful patterns and build robust visualizations.
• Contribute to the understanding of how wind energy resource is evolving in a changing climate.

Candidate Profile

• Final-year Master's student or engineering school student (M2 or equivalent).
• Background in fluid mechanics, climate science, data science, energy systems, or related fields.
• Strong skills in statistics, data analysis, and time series processing.
• Proficiency in Python and MATLAB (mandatory).
• Solid knowledge of atmospheric dynamics, climate variability, and climate indices (ENSO, NAO, etc.).
• Interest in wind energy, renewable resources, and climate impacts.
• Scientific curiosity, critical thinking, and ability to work independently.
• Comfortable working in an interdisciplinary and international environment.

Supervision & Work Environment

• Joint supervision by:
  • SGRE engineering and data teams (based in Paris La Défense)
  • Researchers from the Dynamic Meteorology Laboratory (LMD) at École Polytechnique (Palaiseau)
• Access to a unique global-scale SCADA database
• Opportunity to work across the industry-research interface
• Possibility of scientific publication or continuation into a CIFRE PhD

Working Languages

French and English (documentation and communication in both)

Siemens Gamesa is an equal opportunity employer and maintains a work environment that is free from discrimination and where employees are treated with dignity and respect. Employment at Siemens Gamesa is based solely on an individual's merit and qualifications, which are directly related to job competence. Siemens Gamesa does not discriminate against any employee or job applicant on the basis of race, ethnicity, nationality, ancestry, genetic information, citizenship, religion, age, gender, gender identity/expression, sexual orientation, pregnancy, marital status, disability or any other characteristic protected by applicable laws, rules or regulations. We adhere to these principles in all aspects of employment, including recruiting, hiring, training, compensation, promotion and benefits.

We are driven by people - from more than 100 different countries, they build the company we are every day. Our diverse and inclusive culture encourages us to think outside the box, speak without fear, and be bold. We value the flexibility that our smart-working arrangements, our digital disconnection framework and our  family-friendly practices bring to the new way of working.