Expert in Wind Characterization and Analytics (m/f)
Posted 1/22/2017 9:18:56 AM
Business Segment: Global Research
Location(s): Germany ; Garching
About Us: GE Global Research Europe employs approximately 200 engineers and scientists from about 40 different countries. The scientists and technologists come from a variety of disciplines and backgrounds, including chemistry, physics, mathematics, information technology and engineering sciences. GE’s European Technology Center is located on the research campus in Garching near Munich, in the heart of southern Germany. Technology teams at the center collaborate closely with GE businesses across the globe, ensuring effective transfer of breakthrough innovations from the lab into advanced products and services. Within the R&D community, the center maintains close partnerships with numerous universities, research institutions and technology companies in Germany and abroad.
GE is committed to taking on the world’s toughest challenges. In order to fulfill that promise we rely on a culture of leadership, diversity and inclusiveness. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We believe in hiring talented people of varied backgrounds, experiences and styles... people like you.
Role Summary: Reduce the cost of energy for wind power by developing advanced technologies that leverage understanding of the surrounding wind field and its interaction with the turbine.
Design and analysis of field experiments
Wind turbine loads and performance analysis
Development of wind turbine technology
Ph.D. in aerodynamics, wind engineering, atmospheric science or related field
Strong fundamental knowledge in fluid mechanics and good knowledge of wind turbines
Experience in analysis of measurements in atmospheric boundary layers or other turbulent flows
Excellent academic track record and communication skills paired with the desire for continuous learning and for tackling challenging problems
Can-do attitude, open minded, creative, flexible, team player & committed
Work experience in the field (in academia or industry) beyond PhD studies
Experience in wind turbine siting or wind turbine performance and loads simulations
Experience with advanced flow measurement techniques (PIV, Lidar, Radar, etc.)
Knowledge of advanced statistical and data processing methods
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