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MASTER’S THESIS – ACCELERATING ACOUSTIC SIMULATION USING AI-DRIVEN REDUCED ORDER MODELS - 498271
Leuven, BelgiumSiemens Digital Industries Software is driving transformation to enable a digital enterprise where engineering, manufacturing and electronics design meet tomorrow. Our solutions help companies of all sizes create and leverage digital twins that provide organizations with new insights, opportunities and levels of automation to drive innovation.
Master's Thesis - Accelerating Acoustic Simulation using AI-Driven Reduced Order Models
Strategic Student Program Belgium 2026
Siemens Digital Industries Software - #TransformTheEveryday
Meet the interns by clicking here!
Based: Leuven, Belgium / Hybrid / Thesis internship / 6 months
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management software. We offer a role with responsibility, independence, and the possibility to contribute proactively, by encouraging a teamwork culture with room for individual development.
Start your career with the Strategic Student Program (SSP)!
The Strategic Student Program is our formal internship program at Siemens Software globally. You will be mentored by experts and work directly with customers and technical teams to create direct business impact while gaining valuable professional experience. At Siemens, SSP interns gain access to an international student network and community, career development opportunities with professional growth pathways, practical training throughout the program, access to the Siemens Learning Hub and other training materials, and the opportunity to work on exciting projects within a global, diverse team.
What you'll be doing as part of the Simcenter team in Belgium
Team and context
Using Machine Learning to develop Reduced Order Models is an innovative and transformative approach to accelerate complex and computationally expensive 3D numerical simulation. This methodology is actively being explored across a wide range of engineering disciplines and offers strong potential for industrial applications by enabling significantly faster turnaround times once models are properly trained.
Within Siemens Software, this thesis opportunity sits at the intersection of acoustic simulation, artificial intelligence, and advanced engineering workflows. You will work in close collaboration with both development and application teams to explore how the latest AI-based approaches can support next-generation simulation use cases in automotive cabin acoustics.
Project description
During this master's thesis, you will use Siemens Simcenter's latest AI transformer model to explore workflows for training and generating AI-driven Reduced Order Models. You will investigate the benefits and challenges these models present in accelerating acoustic simulation, with a particular focus on automotive cabin acoustics.
Your work will contribute valuable practical insights into how AI-based Reduced Order Models can be applied to improve simulation efficiency while maintaining engineering relevance and quality.
What you will learn
*
Master high-fidelity 3D finite element-based acoustic simulation using tools available in the Siemens Simcenter portfolio
*
Explore workflows and configure training models for generating Reduced Order Models
*
Investigate in depth the sensitivity of input and output characteristics of AI transformer models
*
Collaborate with development and application teams on real engineering use cases
*
Contribute to the evaluation of innovative AI-enabled workflows for industrial simulation
What we're looking for
We are looking for master's students in Mechanical Engineering, Acoustics, Applied Physics, Computational Engineering, or a related field.
Ideal candidates will have:
*
Knowledge of acoustics and the Finite Element Method
*
Familiarity with, or willingness to learn, numerical 3D simulation tools
*
Curiosity and interest in Artificial Intelligence and Machine Learning applications in engineering
*
Strong analytical and problem-solving skills
*
Good communication skills and proficiency in English
*
A proactive mindset and eagerness to contribute to innovative engineering projects
What you'll gain
*
Hands-on experience in advanced engineering software and simulation workflows
*
Exposure to cutting-edge applications of Artificial Intelligence in engineering
*
Enhanced skills in acoustic simulation and 3D numerical analysis
*
Insight into real-world industrial engineering challenges
*
The opportunity to contribute directly to Siemens Software's innovation pipeline
*
Collaboration with experienced experts across development and application engineering teams
SSP Belgium 2026, conditions & eligibility
This opportunity is planned as a 6-month master's thesis / internship collaboration based in Leuven, Belgium, within Siemens Software.
Eligibility
*
Applicants must be enrolled in a relevant master's program and be able to complete the thesis or internship under a valid university agreement
*
Applicants should be available for a 6-month engagement
*
Work model and weekly schedule can be aligned with university requirements and team needs
*
Applicants must be either citizens of a European Union Member State, or international students already enrolled in Belgium and holding a valid Belgian student residence permit that allows them to complete an internship or thesis in Belgium
*
Siemens Software will not sponsor visas, residence permits, or work authorization for this opportunity
Why Working at Siemens Software?
We 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.
Transform the everyday and shape the future of your career with us
Siemens Digital Industries Software is your place to thrive. Whether you're a current student, recent graduate, or postgraduate, our talent hiring programs offer the trust and freedom to succeed while building a strong foundation for your professional career. You will have the chance to work on real projects, contribute to our future success, and make an impact for our customers.
#LI-PLM
#LI-GV1
#LI-Hybrid
#ssp
Strategic Student Program Belgium 2026
Siemens Digital Industries Software - #TransformTheEveryday
Meet the interns by clicking here!
Based: Leuven, Belgium / Hybrid / Thesis internship / 6 months
Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management software. We offer a role with responsibility, independence, and the possibility to contribute proactively, by encouraging a teamwork culture with room for individual development.
Start your career with the Strategic Student Program (SSP)!
The Strategic Student Program is our formal internship program at Siemens Software globally. You will be mentored by experts and work directly with customers and technical teams to create direct business impact while gaining valuable professional experience. At Siemens, SSP interns gain access to an international student network and community, career development opportunities with professional growth pathways, practical training throughout the program, access to the Siemens Learning Hub and other training materials, and the opportunity to work on exciting projects within a global, diverse team.
What you'll be doing as part of the Simcenter team in Belgium
Team and context
Using Machine Learning to develop Reduced Order Models is an innovative and transformative approach to accelerate complex and computationally expensive 3D numerical simulation. This methodology is actively being explored across a wide range of engineering disciplines and offers strong potential for industrial applications by enabling significantly faster turnaround times once models are properly trained.
Within Siemens Software, this thesis opportunity sits at the intersection of acoustic simulation, artificial intelligence, and advanced engineering workflows. You will work in close collaboration with both development and application teams to explore how the latest AI-based approaches can support next-generation simulation use cases in automotive cabin acoustics.
Project description
During this master's thesis, you will use Siemens Simcenter's latest AI transformer model to explore workflows for training and generating AI-driven Reduced Order Models. You will investigate the benefits and challenges these models present in accelerating acoustic simulation, with a particular focus on automotive cabin acoustics.
Your work will contribute valuable practical insights into how AI-based Reduced Order Models can be applied to improve simulation efficiency while maintaining engineering relevance and quality.
What you will learn
*
Master high-fidelity 3D finite element-based acoustic simulation using tools available in the Siemens Simcenter portfolio
*
Explore workflows and configure training models for generating Reduced Order Models
*
Investigate in depth the sensitivity of input and output characteristics of AI transformer models
*
Collaborate with development and application teams on real engineering use cases
*
Contribute to the evaluation of innovative AI-enabled workflows for industrial simulation
What we're looking for
We are looking for master's students in Mechanical Engineering, Acoustics, Applied Physics, Computational Engineering, or a related field.
Ideal candidates will have:
*
Knowledge of acoustics and the Finite Element Method
*
Familiarity with, or willingness to learn, numerical 3D simulation tools
*
Curiosity and interest in Artificial Intelligence and Machine Learning applications in engineering
*
Strong analytical and problem-solving skills
*
Good communication skills and proficiency in English
*
A proactive mindset and eagerness to contribute to innovative engineering projects
What you'll gain
*
Hands-on experience in advanced engineering software and simulation workflows
*
Exposure to cutting-edge applications of Artificial Intelligence in engineering
*
Enhanced skills in acoustic simulation and 3D numerical analysis
*
Insight into real-world industrial engineering challenges
*
The opportunity to contribute directly to Siemens Software's innovation pipeline
*
Collaboration with experienced experts across development and application engineering teams
SSP Belgium 2026, conditions & eligibility
This opportunity is planned as a 6-month master's thesis / internship collaboration based in Leuven, Belgium, within Siemens Software.
Eligibility
*
Applicants must be enrolled in a relevant master's program and be able to complete the thesis or internship under a valid university agreement
*
Applicants should be available for a 6-month engagement
*
Work model and weekly schedule can be aligned with university requirements and team needs
*
Applicants must be either citizens of a European Union Member State, or international students already enrolled in Belgium and holding a valid Belgian student residence permit that allows them to complete an internship or thesis in Belgium
*
Siemens Software will not sponsor visas, residence permits, or work authorization for this opportunity
Why Working at Siemens Software?
We 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.
Transform the everyday and shape the future of your career with us
Siemens Digital Industries Software is your place to thrive. Whether you're a current student, recent graduate, or postgraduate, our talent hiring programs offer the trust and freedom to succeed while building a strong foundation for your professional career. You will have the chance to work on real projects, contribute to our future success, and make an impact for our customers.
#LI-PLM
#LI-GV1
#LI-Hybrid
#ssp