<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 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"><ul><li>Do you want to bring artificial intelligence into technical applications? In collaboration with a team of engineers and scientists, you will investigate the probabilistic prediction of technical system behaviour. You will work on a Machine Learning Toolbox to forecast vibration-loaded systems and add additional features.</li><li>You will develop a benchmark by integrating simulated data and measurement data from a test bench, utilizing a Machine Learning Algorithms to predict the dynamic behaviour of nonlinear coupled systems.</li><li>Furthermore, you will compare and evaluate various machine learning approaches, primarily focusing on neural networks, within an existing pipeline using simple examples and measurement data. Subsequently, you will assess your approach in terms of accuracy and robustness.</li><li>You will use a Python-based framework and implement both data-based and analytical approaches.</li><li>Last but not least, you will communicate your ideas and contributions enthusiastically and benefit from the exchange with colleagues.</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, Mathematics, Physics, Computer Science or comparable with good grades</li><li><strong>Experience and Knowledge:</strong> very good knowledge of Python (pytorch, pandas, numpy etc.); good knowledge of machine learning; basic knowledge of dynamics / mechanics</li><li><strong>Personality and Working Practice: </strong>communicative, innovative and self-motivated person, who is able to work independently</li><li><strong>Languages:</strong> business fluent in written and spoken German or English</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>
Annika&nbsp;Hayn (Functional Department)<br>
+49 711 811 30652</p><p>#LI-DNI</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.

This company is not affiliated with Joinrs as a partner.
 All available job offers can be found on their public website.
 Joinrs works to aggregate all the open job listings in the world.

Bosch Group

Bosch, a leader in high-quality technologies, seeks a candidate for a Master Thesis role in Data-Based Methods. The candidate should be enrolled in a university, pursuing a master's in Engineering, Mathematics, Physics, or Computer Science, with strong Python and machine learning skills. The role involves predicting system behavior using machine learning. Bosch offers a diverse and inclusive work environment.

Master Thesis in Data-Based Methods

Summary