data-science

Bosch Group

<div><section><div><p></p><h2>Company Description</h2></div><div><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><div><p></p><h2>Job Description</h2></div><div><p>In a project in the context of automated driving, the concept of acoustic perception (e.g. siren detection) is to be digitally extended in a Microsoft Azure Cloud. For this purpose, a machine learning pipeline for the training of acoustic perception models was developed, which additionally enables evaluation and pre-labeling for the models. An extension of the data loop can be summarized as follows:</p><ul><li>Development and implementation of a concept for manual annotation of pre-labeled audio data in the cloud.</li><li>Development of a method for the selection of data for further training.</li><li>Analysis and parameter study of the existing algorithms for model development.</li><li>Implementation of a concept for automated labeling using fused data from other sensors. (e.g. camera, lidar, radar).</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education: </strong>studies in the field of Computer Science, Engineering with IT specializations, Physics or Mathematics with corresponding specializations</li><li><strong>Experience and Knowledge:</strong> sufficient programming experience (at least very good in Python, additionally helpful Matlab or C/ C++), experience in cloud computing (at best Microsoft Azure, AWS etc. an advantage) and knowledge of Docker and ROS desirable</li><li><strong>Personality and Working Practice:</strong> cooperative, independent and goal-oriented</li><li><strong>Enthusiasm: </strong>interest in programming, big data and machine learning</li><li><strong>Languages: </strong>very good German and English</li></ul></div></section><section><div><p></p><h2>Additional Information</h2></div><div><p><strong>Start:</strong> according to prior agreement<br> <strong>Duration:</strong> 6 months – 10 h/week</p><p>Requirement for this working student position is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate 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> Samuel Zündorf (Business Department)<br> +49 173 1705684</p></div></section></div>

Working student Extension of an acoustic data loop in Microsoft Azure (f/m/div.)

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