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Simulation engineering intern – wind turbine virtual sensing

Barcelona
Siemens Mobility
Publicada el 17 mayo
Descripción

Simulation Engineering Intern – Wind Turbine Virtual SensingBased: Barcelona, Spain / Working on-location, Part-time (25 hours per week) / 6 months (1st of October 2026 to 31st of March 2027)What you’ll be doing as part of the STS team in SpainAt Siemens, we develop advanced simulation and engineering methodologies to support the next generation of renewable energy technologies. Wind turbine structures are instrumented only at a limited number of locations, while many relevant quantities, such as full-field strain, displacement, velocity, acceleration, and external loads, cannot be measured directly.The Structures & Simulation team works on innovative approaches to reconstruct these quantities through virtual sensing techniques. By combining physics-based models with measurement data and estimation algorithms, we aim to improve monitoring, validation, and predictive capabilities for wind turbine structural systems.This internship and master thesis opportunity focuses on the development of virtual sensing methods for wind turbine structural applications.The role is particularly suited for students interested in developing their master thesis in collaboration with Siemens Software while gaining hands‑on experience within an international engineering environment.The project includes:- Developing and implementing virtual sensing methodologies for structural systems- Working with nonlinear reduced‑order models and Kalman‑filter‑based estimation methods- Combining simulation models with measurement data for structural state reconstruction- Validating developed methods using simulated datasets and, where available, experimental measurements- Contributing to advanced simulation workflows for renewable energy applicationsThis opportunity offers exposure to cutting‑edge research topics combining structural dynamics, simulation, estimation theory, and renewable energy engineering.What we’re looking forWe are seeking master students in Mechanical Engineering, Aerospace Engineering, Civil Engineering, Applied Mathematics, Physics, or similar fields.If you love creative problem‑solving in simulation technologies, structural dynamics, research analysis, and numerical coding, and have strong communication skills, we want you!Preferred qualifications- Strong background in structural dynamics and multibody dynamics- Good understanding of numerical methods, especially the finite element method- Experience with Python and/or MATLAB- Familiarity with commercial or open‑source finite element or multibody simulation tools is an advantage- Knowledge of state estimation and Kalman filtering is a plus- Enough proficiency in English language- Combine analytical thinking with a result‑oriented approach, strong team spirit and eager to contribute to common objectivesSSP Spain 2026, conditions & eligibilitySiemens Strategic Student Program (SSP) in Spain will run from 1st of October 2026 to 31st of March 2027 (6 months). Depending on the university programs and the number of internship hours per academic cycle, renewals can be considered. Interns may also write their bachelor's or master's thesis in cooperation with Siemens Digital Industries Software (DISW) (STS). Internship at SIEMENS DISW is paid and interns receive an internship contribution.- Interns must be enrolled in a university in Spain and have at least 750 hours available from their university programs for internships- Applicants must be enrolled at a Spanish university for the entire duration of the program, including both Spanish and international students- Curricular and extracurricular internships are accepted, the university program must satisfy the full six‑month length of the internship- International students must have the proper visa and/or work permit to participate, as Siemens will not cover or facilitate visa or permit processesEqual Opportunity StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.#J-18808-Ljbffr

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