Working student

Werkgever:
Siemens Energy
Regio:
The Hague
 
Functieomschrijving

Working Student

About the Role

Location Netherlands Zuid-Holland Den Haag Company Siemens Energy Organization Wind Power Business Unit Technology Full / Part time Full-time Experience Level Early Professional

Snapshot of your day

The primary objective of the PhD project is to advance numerical and stochastic wind field models that account for the presence of large-scale coherent structures and the statistical significance of extreme wind gusts in the atmospheric boundary layer. A secondary goal involves analyzing the relationship between generated inflow wind fields and wind turbine rotor loads under various atmospheric conditions.

How you'll make an impact

  • Developing code based on resolvent analysis for efficient numerical simulation of inflow turbulence.
  • Conducting stochastic wind field reconstruction and modeling, including uncertainty analysis for diverse atmospheric conditions.
  • Processing extensive wind field data by integrating lidar measurements with meteorological data, flow models, and wind turbine load data.
  • Identifying turbulence structures critical for turbine loading through aeroelastic simulations.
  • Collaborating with experimental research groups, including the Lidar & Wakes team and the Turbulence, Wind Energy Systems group.
  • Working alongside technicians and test engineers at SGRE prototype test sites and meteorologists from the SGRE Weather and Energy Forecasting service.
  • Presenting scientific findings at meetings and conferences.

    • What you bring

  • A strong desire to pursue a PhD that integrates numerical and analytical modeling in fluid dynamics
  • In-depth knowledge in at least two of the following areas: experimental/numerical fluid dynamics, statistical analysis of large datasets, and measurement techniques
  • Proficiency in programming with at least one interpreted language (MATLAB, Python, Julia)
  • Motivation and capability to collaborate effectively within a diverse, international research team
  • Fluency in spoken and written English
  • Candidates must possess a qualifying university degree (diploma or master) in Physical Sciences, Meteorology, Mechanical or Aerospace Engineering, Wind Energy, or a related field. Additionally, candidates must not have resided or conducted their main activities in Germany for more than 12 months in the last 36 months.