<section class="job-section" id="st-companyDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg"><p><strong>At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. </strong><strong>Join in and feel the difference.</strong></p><p>The&nbsp;Robert Bosch GmbH<em> </em>is looking forward to your application!</p></div></section><section class="job-section" id="st-jobDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Job Description</h2></div><div class="wysiwyg" itemprop="responsibilities"><p>Join our innovative team and collaborate with Bosch researchers to develop high-end simulation tools used in the design and development of critical components for market applications.</p><ul><li>During your thesis you will gain deep insights into our proprietary simulation software for contact dynamics (EHL). Your primary focus will be on enhancing our models and methods to increase the speed, quality, and efficiency of the simulations using machine learning (ML) methods.</li><li>You will develop algorithms and models to improve performance, scalability, and efficiency.</li><li>Furthermore, you will analyze and interpret simulation output datasets to extract meaningful information for training your algorithms.</li><li>You will utilize Machine Learning techniques, ranging from Gaussian Optimization to Neural Networks, to develop comprehensive design models based on extensive simulation data.</li><li>Finally, you will test and show your improvements on real design challenges.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Qualifications</h2></div><div class="wysiwyg" itemprop="qualifications"><ul><li><strong>Education: </strong>Master studies in the field of Engineering, Computer Science, Applied Mathematics or comparable with good grades</li><li><strong>Experience and Knowledge: </strong>proficiency in programming languages such as Python; strong background in AI, machine learning, and optimization methods</li><li><strong>Personality and Working Practice: </strong>you are a self-starter who works effectively both independently and as part of a team; you identify challenges proactively, propose innovative solutions and have a structured, organized approach to research, combined with excellent analytical and critical thinking skills</li><li><strong>Enthusiasm: </strong>for programming and machine learning</li><li><strong>Languages: </strong>very good in English or German</li></ul></div></section><section class="job-section" id="st-additionalInformation"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Additional Information</h2></div><div class="wysiwyg" itemprop="incentives"><p><strong>Start:</strong> according to prior agreement<br>
<strong>Duration:</strong> 6 months</p><p>Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.</p><p>Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.</p><p><strong>Need further information about the job?</strong><br>
Cesar Pastor (Functional Department)<br>
+49 711 811 43012</p><p>#LI-DNI<strong> </strong></p></div></section>


The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 90,000 associates in research and development, of which nearly 48,000 are software engineers.

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Bosch Group

Bosch, a leader in high-quality technologies, seeks a candidate for a Master Thesis in Machine Learning. The candidate should be enrolled in a university, pursuing a Master's in Engineering or related fields, with skills in Python and AI. The role involves developing simulation tools and algorithms. Bosch offers a collaborative and inclusive work environment.

Master Thesis Machine Learning

Summary