Master's Thesis Opportunity in Advanced Machine Learning for Contact Simulation

vor 4 Wochen


Renningen, Baden-Württemberg, Deutschland Bosch Vollzeit
Position Overview

Join our cutting-edge team at Bosch, where you will collaborate with leading researchers to create sophisticated simulation tools essential for the design and development of critical market components.

In this role, you will engage with a group of experts and gain profound insights into our proprietary simulation software focused on contact dynamics (EHL). Your primary objective will be to enhance our models and methodologies to boost the speed, quality, and efficiency of simulations through innovative machine learning (ML) techniques.

Key Responsibilities
  • Develop algorithms and models aimed at improving performance, scalability, and efficiency.
  • Analyze and interpret simulation output datasets to derive significant insights for training your algorithms.
  • Employ machine learning methodologies, including Gaussian optimization and neural networks, to construct comprehensive design models based on extensive simulation data.
  • Validate and showcase your enhancements on real-world design challenges.
Qualifications
  • Education: Enrollment in a Master's program in Engineering, Computer Science, Applied Mathematics, or a related field with above-average academic performance.
  • Experience and Knowledge: Proficiency in programming languages such as Python; a solid foundation in AI, machine learning, and optimization techniques.
  • Personality and Working Style: A problem-solver with a proactive approach.
  • Passion: A strong enthusiasm for programming.
  • Languages: Proficient in English.
Additional Information

This thesis opportunity requires active enrollment at a university. Please include your CV, academic transcripts, examination regulations, and, if applicable, a valid work and residence permit.

At Bosch, we are committed to diversity and inclusion, and we encourage applications from all individuals, regardless of gender, age, disability, religion, ethnic background, or sexual identity.

For More Information

For further inquiries regarding this position, please reach out to the Functional Department.

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