dev-ops

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><br> <br> The Bosch Thermotechnik GmbH s looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>The publicly funded project "SHANGO" deals with AI-based monitoring and optimization of the operation of heating systems (heat pumps, gas boilers) with the aim to reduce CO2 emissions.</p><ul><li>During your internship you will work within the SHANGO project in a product-related department for reliability of heating systems.</li><li>Your tasks will include among others combining physical reliability models with status data, data pre-processing, and data analysis of both simulated and real system data by means of data mining methods.</li><li>You will have the opportunity to contribute your own ideas and initiatives. If desired and agreed upon, you can collaborate on scientific publications and thus gain skills in writing scientific papers.</li></ul><p><strong>#LI-DNI </strong></p></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education:</strong> studies in the field of Engineering, Computer Science, Mathematics or Physics</li><li><strong>Personality and Working Practice:</strong> independent, structured, motivated, questioning and team player</li><li><strong>Experience and Knowledge: </strong>knowledge about physical reliability models; advanced knowledge of common simulation and programming languages such as MATLAB/Simulink and Python, with methods of data mining</li><li><strong>Enthusiasm: </strong>digital native, enjoys teamwork and combining theory and practice</li><li><strong>Languages: </strong>German and/or English fluent in written and spoken</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<br> According to prior agreement it is possible to prepare a thesis following the internship.</p><p>Requirement for this internship is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate, examination regulations 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> Sahil-Jai Arora (Business Department)<br> +49 157 54077089</p></div></section></div>

Internship IoT - Reliability Prognosis via System Data Analysis

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