Stage - analyse du changement climatique

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Profil recherch :

Title :
Internship Longterm Wind Data Analysis from SCADA Systems (Onshore & Offshore) to Assess Climate Change Impacts

Location :

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 longterm 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 cole 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 longterm trends and interannual variability of wind characteristics and investigate their links with largescale climate dynamics such as ENSO (El Nio / La Nia), the North Atlantic Oscillation (NAO), and others.

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

Internship Objectives

• Process structure and analyze largescale SCADA datasets focused on wind characteristics.
• Identify longterm 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 Nio 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 Masters 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.

Joint supervision by :

• SGRE engineering and data teams (based in Paris La Dfense)
• Researchers from the Dynamic Meteorology Laboratory (LMD) at cole 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.