<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 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>During your master thesis you will apply and adapt state-of-the-art sequence models from recent publications in the field of machine learning, in the context of virtual sensors for the smart and safe e-bike of the future.</li><li>You will train and compare models to assess their suitability and performance, while experimenting with the training scheme.</li><li>Ideally a demonstrator of the final approach will be realized to validate the functionality.</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 Computer Science, Artificial Intelligence, Mechatronics, Electrical Engineering, Cybernetics or comparable with good grates</li><li><strong>Experience and Knowledge:</strong> in the field of machine learning; good Python programming skills; practical experience with ML libraries like PyTorch or TensorFlow and neural network training; ideally first experiences with sequence models (LSTMs, GRUs, transformers, ...); knowledge in the fields of state estimation and vehicle dynamics are an advantage</li><li><strong>Personality and Working Practice: </strong>motivated to try out and learn new things with an independent and systematic approach to the task</li><li><strong>Languages:</strong> fluent 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>
Alessandro&nbsp;Moia (Functional Department)<br>
+49 711 811 43672<br>
Silas Klug (Functional Department)<br>
+49 711 811 8344</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.

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Bosch Group

At Bosch, we shape the future with high-quality technologies. We seek a master's student for a thesis in Machine Learning, requiring studies in relevant fields and skills in Python and ML libraries. The candidate will apply sequence models for virtual sensors in e-bikes. We offer a diverse and inclusive work environment.

Thesis in Machine Learning

Summary