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>The Internet of Things, digitization, electro mobility, connected industry, automated driving, big data, Fridays for Future – all those changes in business and private life have one thing in common: the need for clean, safe and affordable energy supply.<br>
To ensure a successful energy transformation, a combination of the security of energy supply as well as the competitiveness of innovative and intelligent climate protection is mandatory. This requires a significant expansion of the generation of renewable energies, a significant expansion of the electricity network, the expansion of hydrogen generation plants as well as the use of the existing gas infrastructure, an infrastructure coupling of all energy consumption sectors and a further increase in efficiency in all areas.<br>
The importance of stationary SOFC fuel cell (solid oxide fuel cell) will continue to increase for clean, scalable and networked power generation. For this, Bosch has set up a project to drive the SOFC business.</p><ul><li>Your main task is to analyze the performance of the SOFC lab samples based on measurements.</li><li>Furthermore, you will use current state of the art cloud solutions to deploy your code.</li><li>You will apply data visualization to demonstrate interdependencies between system parameters.</li><li>To improve the existing performance prediction model you will use advanced data analytic packages of Python.</li><li>Last but not least, you are responsible for technical documentation.</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, Electrical Engineering and Information Technology, Technical Cybernetics or comparable</li><li><strong>Personality and Working Practice:</strong> creative, committed, resilient and independent</li><li><strong>Experience and Knowledge:</strong> Python, data analytics, knowledge in SOFC system desirable</li><li><strong>Languages: </strong>fluent in German or 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</p><p>We offer you</p><ul><li>35 hours/week with flextime</li><li>a permanent contact person who will accompany you during your internship</li><li>a modern working environment, as well as mobile working by arrangement</li><li>the opportunity to become part of our student network <a href="/cdn-cgi/l/email-protection">[email protected]</a> Stuttgart</li><li>discounts in our company restaurants</li></ul><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><strong>Need further information about the job?</strong><br>
Hans-Christian Haag (Business Department)<br>
+49 711 811 14832</p><p>Apply now in just 3 minutes!</p></div></section></div>

Internship Data Analytics for Stationary Fuel Cell System SOFC

remote

17 days ago