<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. Welcome to Bosch.</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"><p>Automated driving is one of the most significant technological challenges of our time. While traditional autonomous systems rely on modular pipelines, the industry is shifting toward end-to-end learning - a paradigm that scales massively but often acts as a "black box." We are seeking an excellent PhD candidate to bridge this gap. Your goal is to be the architect of a next-generation, modular, and scalable end-to-end driving model. You will explore how to join the benefits of two competing paradigms: the data-driven power of unified models and the safety-critical explainability of decomposed pipelines. This position offers a unique bridge between academic excellence and industrial application: alongside publishing your research at top-tier venues, you will have the opportunity to see your contributions integrated into the next generation of real-world ADAS products. </p><p>Your contribution to the future of driving:</p><ul><li><strong>Master the State-of-the-Art:</strong> As part of your role you conduct a deep-dive analysis of current breakthroughs in end-to-end autonomous driving. You will investigate how to exploit large-scale datasets without relying on labeled data for every sub-task, identifying the next frontier of innovation.</li><li><strong>Innovate and Develop: </strong>Furthermore, you will design and implement novel deep neural network architectures that prioritize both high-performance scaling and human-interpretable explainability.</li><li><strong>Experiment and Validate:</strong> Through rigorous experiments on public benchmarks and our massive, Bosch-owned autonomous driving datasets, you will validate the performance and reliability of your models.</li><li><strong>From Lab to Road: </strong>In close collaboration with expert project teams in deep learning and computer vision, you will brainstorm new ideas and have the unique opportunity to deploy your software on hardware, validating your research on real automotive driving systems.</li><li><strong>Share Your Success: </strong>We support your academic growth. You will publish your findings and research outcomes at top-tier computer vision and machine learning journals and conferences.</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 degree in Electrical Engineering, Computer Science or similar with excellent grades</li><li><strong>Experience and Knowledge:</strong> detailed knowledge on computer vision, 3D vision, machine learning, deep learning, artificial intelligence (Transformer, Sparse and BEV Queries) and experience with dedicated development tools (TensorFlow, PyTorch, Python)</li><li><strong>Personality and Working Practice:</strong> you show high level of enthusiasm; you are creative and work independent with excellent task-management; team spirit, assertiveness and persuasiveness are your strong characteristics</li><li><strong>Enthusiasm:</strong> interest in conceptual work and method-based design</li><li><strong>Languages:</strong> fluent in English and German written and spoken</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><u><a href="#">www.bosch.com/research<br/>
https://www.bosch-mobility.com/de/</a></u></p><p>The final topic depends on your university.</p><p><strong>Start: </strong>by prior agreement</p><p>Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).</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 support during your application?</strong><br/>
Sarah Schneck (Human Resources)<br/>
+49 711 811 433381</p><p><strong>Need further information about the job?</strong><br/>
Joel Janai (Functional Department)<br/>
+49 711 811 10566</p><p>Work #LikeABosch starts here: Apply now!</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 PhD candidate for a research contract in scalable and explainable end-to-end driving models, requiring a Master’s in a relevant field and expertise in AI and computer vision. The candidate will research, develop, and validate deep learning models for autonomous driving. Academic growth and publication opportunities are supported.

PhD Thesis End2End Driving

Summary