Internship/Master thesis (f/m/x) Quantum Machine Learning for Crashworthiness Optimization
Required skills
Job description
German Aerospace Center (DLR) posted this role. Below, we break down what it means for a working student in Stuttgart: your weekly hours, take-home pay and visa limits.
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Description provided by German Aerospace Center (DLR)
The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognized for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.
We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.
What To Expect
In crashworthiness optimization, we aim to design vehicles that are robust, safe, and lightweight. Evaluating these designs is computationally expensive, so we use surrogate models to approximate costly simulations. However, mathematical bottlenecks within the surrogate modeling process can limit efficiency and accuracy. In this Master’s thesis, you will explore how quantum algorithms can accelerate and enhance surrogate modeling, gaining hands-on experience with quantum machine learning methods, engaging with the latest literature, and contributing to cutting-edge research at the intersection of quantum computing and predictive modeling.
Your tasks
- Conduct focused literature research in the areas of quantum algorithms and surrogate modeling
- Implement quantum algorithms and develop quantum-enhanced surrogate models
- Apply quantum machine learning models to benchmark functions and test their performance
- Compare the performance of quantum models with classical approaches, analyzing strengths and limitations
Your profile
- Ongoing scientific university studies in mathematics, physics, computer science, engineering, or a related field
- Experience in optimization methods and techniques
- Strong Python programming skills
- Problem-solving skills and ability to work independently
- Interest in quantum computing and machine learning
- Curiosity and motivation to explore innovative computational methods
- Experience with Gaussian Processes, GPyTorch, or PennyLane is a advantageous
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 6446) please contact:
Mr. Kerem BÜKRÜ
Phone: +49 711 6862 515
Working student essentials
What this Tech working student role in Stuttgart means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.
Weekly hours
Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.
Working student rulesSocial contributions
Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.
Check your insuranceInternational students
Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.
Studying in Germany
