Renningen, BW, Germany
2 months ago

Job Overview

Job Type
Full-Time
Pay
Not disclosed

Job description

Location:
Renningen, BW, Germany
Work arrangement:
On-site

Role Summary

You will become part of an innovative research project in which data-driven methods meet state-of-the-art technology. Are you ready to turn your ideas into impact? Apply now and help shape future solutions.

You will conduct a comprehensive analysis of existing force modeling methods for rotary grinding and explore state-of-the-art machine learning approaches for sequence-to-sequence regression on time series data, such as: B. Symbolic Regression, Convolutional Neural Networks and Mamba. As part of the data analysis, you will analyze and prepare the time series data provided, including feature engineering to extract relevant physical parameters. Based on your research, you will implement and train various machine learning frameworks for force prediction.

To evaluate the developed approaches, create and use a robust comparison matrix based on key performance indicators such as prediction accuracy (RMSE, MAE), computational effort and interpretability. Throughout the project, regularly document, present and discuss your results and progress with the project team.

Requirements

Education: Master's degree in mechanical engineering, data science, computer science, physics or comparable

Experience and knowledge

  • Very good programming skills in Python
  • Familiarity with common data science libraries such as Scikit-learn, TensorFlow, PyTorch and Pandas
  • Personality and way of working: You are highly motivated and enjoy working on challenging research topics independently
  • Work routine: Your presence on site is required
  • Languages: Business fluent English and very good knowledge of German

Benefits

Start: according to prior agreement Duration: 6 months The prerequisite for this thesis is enrollment at a university. Please attach your CV, your transcript of records, the examination regulations and, if applicable, a valid work and residence permit. For us, diversity and inclusion are not just trends, they are firmly anchored in our corporate culture. We therefore welcome all applications – regardless of gender, age, disability, religion, ethnic origin or sexual identity. Do you need further information about the position? Jonathan Hilberg (specialist department) +49 711 811 38316 Work #LikeABosch starts here: Apply now! #LI-DNI

About the Company

At Bosch, we shape the future by developing high-quality technologies and services that inspire and enrich people's lives. Our promise to our employees is rock solid: We grow together, we enjoy our work and we inspire each other. Join us and feel the difference. Robert Bosch GmbH looks forward to your application!

Role:
Master's thesis on data-driven force prediction in rotary grinding in the semiconductor industry (f/m/div.)
Industry Type:
Information Technology And Services
Job Type:
Full-Time

Company profile

Bosch Group

bosch.com

The Bosch Group is a global supplier of technology and services. It employs roughly 413,000 associates worldwide and generated sales of 91 billion euros in 2025. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. Products range from home appliances and power, garden and measuring tools to heating, cooling and smart home systems, alongside mobility solutions for business clients. Robert Bosch founded the company in Stuttgart in 1886.

Company Size
400,000 - 500,000 employees
Headquarters
Gerlingen, Germany
Founded
1886
Founders
Robert Bosch

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