<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"><p>At Bosch Corporate Research we focus on developing learning control systems for hydraulic cylinders to enhance advanced excavator assistance functions.</p><ul><li>During your thesis you will explore methods for transferring knowledge, data and model parameters between similar learning tasks to increase sample efficiency for new tasks.</li><li>You will investigate measures to evaluate the performance of fine-tuned controllers to ensure they meet desired operational standards.</li><li>Furthermore, you will develop strategies to reduce the computational load of model fine-tuning to enable real-time model adaptation during regular operation.</li><li>Finally, you will create methods for online validation of model adaptations to ensure reliability and performance in dynamic environments.</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>studies in the field of Electrical Engineering, Control Engineering, Computer Science, Mathematics or comparable</li><li><strong>Experience and Knowledge: </strong>in<strong> </strong>Data Science, Machine Learning, Non-Linear System identification</li><li><strong>Personality and Working Practice: </strong>you excel at sharing your thoughts openly, fostering clear communication with others, and working independently</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>You are almost finished with your Bachelor's degree and would like to gain some practical experience before embarking on your next academic adventure with a Master's degree? Then you fit in perfectly well with our <a href="#">PreMaster Programm</a>! Take a look at our vacancies <a href="#">here</a>.</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/>
Ozan Demir (Functional Department)<br/>
+49 711 811 45250<br/>
Matthias Woehrle (Functional Department)<br/>
+49 711 811 92858</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 student for a thesis in transfer learning for hydraulic cylinders. The candidate should be enrolled in university, nearing a Bachelor's degree, and have skills in data science and machine learning. The role involves developing learning control systems and strategies for real-time model adaptation. Bosch offers a collaborative and inclusive work environment.

Thesis in Transfer Learning

Zusammenfassung