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><ul><li>As part of your job, you will support us in labeling of scenes for object type classification.</li><li>The data preprocessing for neural networks as well as their evaluations will be part of your tasks.</li><li>Furthermore, you will implement training strategies.</li><li>Last but not least, you will be responsible for hyper parameter tuning and neural architecture search. </li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education: </strong>studies in the field of Information Technology or comparable</li><li><strong>Experience and Knowledge:</strong> Python or comparable language (intermediate), Machine Learning (basic), Git (basic), MATLAB (basic); nice to have: C++</li><li><strong>Personality and Working Practice:</strong> analytical, goal-oriented, open to new ideas, independent and structured</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 at Office (Bochum)</p><p>Requirement for this working student position is the enrollment at university. Please attach 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> Ali Khanafer (Business Department)<br> +49 234 43870 246</p><p>#LI-DNI</p></div></section></div>

Working student Data Acquisition / Processing and Neural Network Optimization (f/m/div.)

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