Master Thesis Neural Network-Based Surrogate Models for EHL Contact Simulations(m/w/x)

In this role, you will work with a dynamic team to enhance simulation tools using advanced machine learning techniques. Your day-to-day responsibilities will include developing algorithms, analyzing data, and creating surrogate models to improve efficiency in real-world applications.

Anforderungen

• •Master's degree in Engineering, Computer Science, Applied Mathematics, or comparable field
• •Proficiency in programming languages, particularly Python
• •Strong background in AI, Machine Learning, and optimization methods
• •Experience with PyTorch and/or TensorFlow
• •Self-starter with effective independent and team working skills
• •Structured and organized approach to research
• •Excellent analytical and critical thinking skills
• •Passion for Machine Learning and programming
• •Problem-solving mindset
• •Very good in German or English