Software Developer – Thesis Internship
Siemens Digital Industry Software – #TransformTheEveryday
Meet the interns by clicking here!
Based: Helmond/Eindhoven, The Netherlands. Working hybrid. Full-time. 7 months
Siemens Digital Industries Software (DI SW) helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens' software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today's ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries, Siemens Digital Industries Software accelerates transformation.
Simcenter, Simulation and Test
Simcenter Simulation and Test (STS) solutions create a more sustainable future. Join the engineers developing the best possible products using the powerful predictive STS applications of Simcenter. By combining advanced engineering tools with industry expertise and dedicated support, we empower innovators.
Master’s Thesis Internship: Coverage Argumentation and Safety Validation for Automated Vehicles
At Siemens, we develop cutting-edge tools and methodologies to support the testing and validation of automated vehicles (AVs) and advanced driver assistance systems (ADAS). Ensuring AV safety is a complex challenge due to the vast range of possible driving conditions, including rare and unpredictable scenarios. Traditional real-world testing alone is insufficient, making scenario-based testing and virtual validation critical approaches for safety assessment.
This master’s thesis project will focus on coverage argumentation for our approach to finding unknown-unsafe scenarios. In scenario-based testing, coverage measures how well test scenarios reflect real-world driving conditions that an AV may encounter. The thesis will explore methodologies to quantify and improve coverage within our virtual validation and optimization framework.
Your Role and Research Scope:
Your thesis will focus on the following key questions:
Completeness of Measured Data:
- How well does our collected data define the scenario space?
- Do we have sufficient parameter coverage (e.g., velocities of different actors) to accurately model real-world distributions?
- Apply statistical techniques from literature to analyze parameter distributions.
- Given the parameter distributions in the collected data, after how many kilometers or hours of driving is an AV likely to encounter a given scenario?
- Develop probability estimates for generated scenarios using statistical and machine learning approaches.
- How many kilometers of real-world driving can be represented through virtual scenario-based testing?
- Evaluate the efficacy of our approach in covering critical real-world scenarios through simulation.
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. In our talent hiring programs you will find the trust and freedom to succeed, while building a solid foundation for your professional career. You will have the chance to work on real projects, providing value to our future success and making an impact for our customers.
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