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Open nowPosted 36 days ago

Mechanical Engineering Internship

EURES job mobility portal314,718 open roles

Where
Zuidoost-Noord-Brabant, Netherlands
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Your applicationOpen nowMechanical Engineering InternshipEURES job mobility portal · Zuidoost-Noord-Brabant, Netherlands

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This job: posted 36 days ago

The posting

Op vakgebied Op locatie Handig om te weten Applied Physics | Mechanical Engineering internship: acoustic source modeling ASML · Eindhoven Niveau WO Vakgebied Techniek & Engineering Duur 9 maanden Werkvorm Op locatie Type Thesis Studierichting Werktuigbouwkunde, Technische Natuurkunde Volledige vacaturetekst Job ID: J-00341326 Introduction Within ASML's Mechanical Development and System Dynamics team in Veldhoven, you will contribute to advancing the understanding of acoustic disturbances in highly precise lithography systems. Acoustic loads can influence system performance, particularly in environments where accuracy and throughput are essential. This internship focuses on extending an existing reduced-order acoustic modeling framework by introducing stochastic acoustic sources. Through this Internship, you will combine theory, simulation, and validation to help improve acoustic disturbance modeling. If you are interested in computational acoustics, numerical methods, and signal processing, this internship offers an opportunity to work on a relevant and challenging research topic. Your assignment In this Internship you will investigate how stochastic acoustic sources, which have no known time relationship, can be represented within an existing reduced-order modeling framework. You will explore theoretical concepts, develop modeling approaches, and validate results using simulations and measurements. Your work will contribute to a more realistic representation of acoustic disturbances while maintaining computational efficiency. Your main responsibilities will be: - Conduct a literature review on stochastic acoustic source modeling - Develop modal descriptions for stochastic acoustic sources - Investigate modeling approaches for point, line, and surface sources - Implement stochastic source representations within a reduced-order framework - Create and evaluate a modal stochastic source matrix - Compare simulation ...

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