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Master Thesis Machine Learning Based Fatigue Life Prediction of Metallic Materials

vor 3 Monaten


Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH Vollzeit

Job Title: Machine Learning Model Extension Intern at Robert Bosch GmbH

Company: Bosch


At Bosch, we are dedicated to shaping the future through the creation of top-notch technologies and services that not only excite people but also enhance their lives significantly. At Robert Bosch GmbH, we are eagerly awaiting your application.

When it comes to evaluating various components, a range of guidelines utilizing analytical and empirical methods are available. Conversely, there is a rising trend towards data-driven approaches to predict the fatigue behavior of metallic components.

Nevertheless, significant challenges surface due to limited data availability and uncertain data quality, necessitating careful data management and machine learning model selection.

In this role, you will be tasked with enhancing an existing machine learning model by incorporating additional data, relevant features, and expanding its methodologies to enhance its precision.

Your responsibilities will involve:
  • Conducting data mining to acquire more data that fulfills the specified criteria.
  • Creating an automated process to assess the suitability of new data.
  • Validating and refining both existing and new machine learning techniques using Python.

Experience and Knowledge:

You should have expertise in:

  • Data processing and analysis.
  • Programming skills in Python with Scikit-learn, TensorFlow or PyTorch, Git, Test Driven Development.

Personality and Working Practice:

We are seeking a candidate who is:

  • Communicative, efficient, and organized.
  • A team player with a strong sense of responsibility.

Enthusiasm:

We encourage you to share your Git project with us, showcasing your passion for the field.


Languages:

Fluency in German or English is essential for this position.

Please submit your CV, transcript of records, examination regulations, and if applicable, a valid work and residence permit as part of your application.