Postdoctoral position in multifractal approach for wind energy application (F/M/X)

  • Reference : FEM-SAS-2024-282
  • Position type: Fixed-term contract
  • Duration: 14 month
  • Localisation: Champs-sur-Marne (77) - HM&Co
  • Download the offer

Job Description

NEMO is an international project led by France Energies Marines and Fraunhofer IWES, which started in November 2023 and spans over 30 months. This initiative brings together a consortium comprising both academic and industrial partners, fostering collaboration and leveraging expertise from diverse domains to address the complex challenges associated with offshore wind energy.

The primary goal of NEMO is to develop innovative methodologies and tools for a comprehensive assessment of turbulence at potential offshore wind sites. By doing so, the project aims to alleviate uncertainties surrounding turbulence characterization, thus enabling more precise design considerations, and enhancing the financial feasibility of offshore wind projects.


Within the framework of the NEMO project, the postdoctoral researcher will concentrate on comparing wind fluctuations measurements between anemometers and lidar profilers utilizing the Universal Multifractals (UM) framework. UM has a proven track record in characterizing and simulating geophysical fields that exhibit extreme variability across a wide range of space-time scales, such as wind patterns. Specifically, the researcher will focus on:

  • Investigating the effects of intermittency and scale on standard metrics, such as spectral slopes and turbulence intensity. Empirical estimates of turbulence intensity and spectral slope in homogeneous turbulence often deviate from theoretical scaling, which can be theoretically and empirically quantified. Intermittency affects both first (mean) and second order statistics (variance), and this research aims to quantify these effects on standard metrics, considering the resolution and frequency of data.
  • Developing new scale-invariant metrics for quantifying wind fluctuations based on UM. These metrics will encompass statistics of all orders, including higher-order statistics, and will be constructed within an intrinsic space-time framework. The metrics will be designed to characterize wind fluctuations in 1D, 2D, and 3D spaces, addressing anisotropy concerns. The goal is to derive new metrics that effectively quantify wind fluctuations across various scales to facilitate instrument comparison.
  • Implementing these metrics on collected data from anemometers and lidar profilers. Standard turbulence metrics, along with newly proposed ones, will be applied to the measurements obtained by both instruments within the project. This implementation will consider the operational characteristics of the devices. The objective is to compare the ability of anemometers and lidar profilers to measure wind fluctuations across different scales, transcending their respective observation scales.


Required Skills

Initial training
PhD degree in atmospheric science or fluid dynamics or with a focus on wind energy or any relevant discipline

Work experience
The ideal candidate would benefit from having prior research experience in fields related to atmospheric science, fluid dynamics, wind energy, or a closely related area

Specific knowledge

• Expertise in turbulence analysis. A deep understanding of turbulence theory, including its characterization.
• Statistical analysis. Proficiency in statistical methods and data analysis techniques is necessary for quantifying the effects of intermittency and scale on standard turbulence metrics, as well as for developing new scale-invariant metrics.
• Programming skills. Strong programming skills in languages such as Python or MATLAB.

• Remote sensing techniques. Familiarity with remote sensing technologies, particularly lidar systems, and their applications in atmospheric research.
• Experience with multifractal analysis. Prior experience or knowledge of multifractal analysis techniques, particularly in the context of geophysical fields and wind patterns, would be highly desirable for utilizing the UM framework in this research.
• Fluid dynamics background. A background in fluid dynamics, including knowledge of flow dynamics and boundary layer meteorology, would be advantageous for understanding the underlying physics of wind fluctuations and turbulence.

Professional qualities
• Research Aptitude: The candidate should demonstrate a strong aptitude for conducting research, including the ability to formulate hypotheses and analyze data effectively.
• Collaborative Spirit: The candidate should be able to work effectively in a multidisciplinary team environment, collaborating with academic and industrial partners within the NEMO project.
• Communication Skills: Strong written and verbal communication skills are necessary for presenting research findings, writing scientific papers, and engaging in discussions with collaborators.

In accordance with the regulations, priority will be given to people with disabilities who are equally qualified.

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Job : Postdoctoral position in multifractal approach for wind energy application (F/M/X)

Reference : FEM-SAS-2024-282

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