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Bosch Group
last mo.

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

Renningen
Full-timeInternshipWith Home Office
AI/ML
Data Science

Description

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.

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Requirements

  • 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

Education

Master's degree

Tasks

  • Collaborate with researchers to develop simulation tools
  • Enhance models and methods for simulations
  • Apply advanced Machine Learning techniques
  • Develop novel algorithms to improve simulation performance
  • Conduct analysis of simulation output datasets
  • Extract meaningful information from datasets
  • Train and validate algorithms using simulation data
  • Generate robust surrogate models
  • Test and demonstrate efficiency improvements in design

Tools & Technologies

PythonPyTorchTensorFlow

Languages

GermanBusiness Fluent

EnglishBusiness Fluent

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