PhD Position - Motion Prediction and Planning for Autonomous Systems

<h3>Company Description</h3><p><strong>Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.</strong></p><p>The Robert Bosch GmbH is looking forward to your application!</p><h3>Job Description</h3><p>The ability to perceive, understand and reason about agents in an environment is crucial for realizing autonomous systems. Predicting future motion of agents represents a key task, especially in autonomous vehicles, mobile robots and surveillance systems and is a prerequisite step for motion planning. Motion prediction requires to consider all relevant information sources including prior knowledge, context and to combine it with models learned from data.</p><p>This thesis will research new methods for knowledge representation and learning to improve motion prediction and planning of autonomous systems. Particular emphasis will be placed on the representation of heterogenous and relation-based knowledge sources and their combination with learning-based approaches.</p><ul><li>Perform excellent academic research on knowledge representation and knowledge graph-based machine learning pushing the state-of-the-art by keeping potential industrialization in mind.</li><li>You are part of a global research team, collaborate with Bosch Business Units as well as academic research groups.</li><li>Implement and evaluate your algorithms on academic benchmark data as well as Bosch data and systems.</li><li>Publish scientific articles, attend scientific conferences, file patents and prepare your doctoral thesis.</li></ul><h3>Qualifications</h3><ul><li><strong>Education: </strong>excellent Master’s degree in the field of Computer Science, Mathematics, Engineering or a related field (Please provide your degree marks)</li><li><strong>Experience and Knowledge:</strong> strong experience in machine learning and preferable in graph embedding and graph neural networks, experience in deep learning frameworks (PyTorch), good programming skills in Python, basic knowledge of semantic methods and ontologies</li><li><strong>Personality and Working Practice:</strong> highly motivated, communicative, and pro-active team-player as well as good communication and presentation skills</li><li><strong>Languages: </strong>fluent in English</li></ul><h3>Additional Information</h3><p>The final Phd topic is subject to your university.</p><p><strong>Start:</strong> May 2023</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/> Kevin Heiner<em> </em>(Human Resources)<br/> +49 711 811 12223</p><p><strong>Need further information about the job?</strong><br/> Dr. Jürgen Lüttin (Functional Department)<br/> +49 711 811 20059<br/> Mirjam Steger (Functional Department)<br/> +49 711 811 10832</p>