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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>
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The<em> </em>Robert Bosch GmbH is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><p>The new drive concepts of e-mobility and power electronics present special challenges for control units. Therefore, both the reliability of the printed circuit board and the assembly and interconnection technology are of increased importance.</p><ul><li>Become part of the team for characterization of the robustness of PCB materials and design elements.</li><li>Support the team in developing data analysis tools to identify physical and chemical interactions.</li><li>You will develop electrical models and apply state-of-the-art optimization techniques and validate the models under laboratory conditions.</li><li>Within our dynamic and interdisciplinary team of students, you will take an important position to research corrosion effects.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education: </strong>studies in the field of Electrical Engineering, Data Science, Mechanical Engineering, Computer Science or comparable</li><li><strong>Personality and Working Practice:</strong> eager to experiment, willing to learn, structured, independent and cooperative</li><li><strong>Experience and Know-how:</strong> in Python programming, basics of electrical engineering and of statistics</li><li><strong>Enthusiasm:</strong> interest in underlying technical/material science issues and affinity for programming</li><li><strong>Languages: </strong>very good in English or German</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> 3 - 6 months<br>
According to prior agreement it is possible to prepare a thesis following the internship.</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, link to your Git repo (if available), 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>
Quang Duc Pham (Business Department)<br>
+49 711 811 42729<br>
Norbert Holle (Business Department)<br>
+49 711 811 49509</p></div></section></div>

Internship Modeling and prediction of dew formation for ECM risk assessment

remote

20 days ago