Logo of Huzzle

Postdoctoral Researcher - Offshore Wind Turbine Modeler

Applications are closed

  • Job
    Full-time
    Entry Level
  • Research & Development
    Engineering
  • $71.3K - $117.6K
  • Boulder

Requirements

  • Experience with physics-based wind turbine and/or wind-farm modeling principles, including aerodynamics, hydrodynamics, structural dynamics, and/or controls.
  • Experience with offshore wind turbine modeling tools used within the industry and research communities, e.g., FAST/OpenFAST, Bladed, and/or HAWC2.
  • Knowledge of international wind turbine design standards, e.g., IEC 61400-1, -2, -3-1, and/or -3-2.
  • Experience with programming languages, including familiarity with (or the ability to quickly learn) Python and/or MATLAB, Fortran and/or C++, and high-performance computing environments.
  • Basic Qualifications:
  • Must be a recent PhD graduate within the last three years.* Must meet educational requirements prior to employment start date.
  • Additional Required Qualifications:
  • The successful candidate will have excellent writing, interpersonal, and communication skills. The candidate will be expected to publish research results in technical journals/conference proceedings and present work at conferences, symposia, and review meetings. They will also be expected to support the development of new work proposals, preparations, and reviews.
  • In addition, the candidate is expected to have:
  • Experience with physics-based wind turbine and/or wind-farm modeling principles, including aerodynamics, hydrodynamics, structural dynamics, and/or controls.
  • Experience with offshore wind turbine modeling tools used within the industry and research communities, e.g., FAST/OpenFAST, Bladed, and/or HAWC2.
  • Experience with programming languages, including familiarity with (or the ability to quickly learn) Python and/or MATLAB, Fortran and/or C++, and high-performance computing environments.
  • Preferred Qualifications:
  • Knowledge of international wind turbine design standards, e.g., IEC 61400-1, -2, -3-1, and/or -3-2.
  • Experience with wind-farm modeling tools FLORIS, FAST.Farm, and/or DWM for wind farms.
  • Knowledge of optimization processes related to wind systems.
  • Comfort with standard software workflows on GitHub.
  • Familiarity with uncertainty quantification and machine-learning principles.
  • Knowledge of high-fidelity computational fluid dynamics (CFD) modeling.
  • Experience with processing measurement data.

Responsibilities

  • The researcher will work with a wide variety of customers including the U.S. Department of Energy Wind Energy Technology Office. They may also work collaboratively with other national laboratories, industry and academic partners, and the international community to execute projects and promote the wind industry. The researcher is expected to demonstrate a broad understanding and wide application of engineering principles, theories, and concepts as well as general knowledge of wind energy-related disciplines, applications and challenges. Candidates with aerospace, mechanical, or naval design backgrounds with some knowledge of wind engineering applications are encouraged to apply.
  • The successful candidate will have excellent writing, interpersonal, and communication skills. The candidate will be expected to publish research results in technical journals/conference proceedings and present work at conferences, symposia, and review meetings. They will also be expected to support the development of new work proposals, preparations, and reviews.

FAQs

What tools will the Postdoctoral Researcher use for wind turbine and wind-farm engineering modeling?

The researcher will use physics-based engineering tools such as OpenFAST and FAST.Farm for loads analysis applications for offshore wind systems at both the wind turbine and wind-farm levels.

Science & Healthcare
Industry
1001-5000
Employees
1977
Founded Year

Mission & Purpose

The National Renewable Energy Laboratory (NREL), a Department of Energy national lab, is #TransformingEnergy as the nation's primary laboratory for renewable energy and energy efficiency research and development. NREL's Mission: NREL develops renewable energy and energy efficiency technologies and practices, advances related science and engineering, and transfers knowledge and innovations to address the nation's energy and environmental goals. NREL's Strategy: NREL has forged a focused strategic direction to increase its impact on the U.S. Department of Energy's (DOE) and our nation's energy goals by accelerating the research path from scientific innovations to market-viable alternative energy solutions.