backend

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<em> </em>grow platform GmbH is looking forward to your application!</p></div></section><section><div><p></p><h2>Job Description</h2></div><div><ul><li>During you internship you will assist in collecting, cleaning, and preparing large datasets for analysis, ensuring data quality and integrity, specifically focusing on electrical engineering or physics-related data.</li><li>Furthermore, you will support the design and implementation of algorithms tailored to electrical engineering or physics applications, aiming to transform raw data into meaningful insights within the context of digital twins.</li><li>Contribute to the development of generative AI models for tasks such as data augmentation, synthetic data generation or LLMs for user interaction within the digital twin framework.</li><li>You will conduct experiments to evaluate the performance of developed algorithms specific to electrical engineering or physics domains, and propose enhancements or optimizations to improve their effectiveness.</li><li>Stay up-to-date with the latest advancements in data science, electrical engineering, and physics, and contribute to the exploration of new methodologies or approaches, specifically related to digital twins.</li><li>Finally, you will work closely with the data science team to collaborate on projects, document algorithms, methodologies, and findings, and present results to stakeholders, with a focus on electrical engineering or physics applications.</li></ul></div></section><section><div><p></p><h2>Qualifications</h2></div><div><ul><li><strong>Education: </strong>Bachelor or Master studies in the field of Data Engineering, Computer Science, Electrical Engineering or comparable</li><li><strong>Experience and Knowledge: </strong>Proficiency in programming languages such as Python, C++, or Java, along with experience in software development and scripting, familiarity with edge computing concepts, including the deployment of applications on edge servers and working with resource-constrained environments, understanding of data processing techniques and familiarity with data analytics tools and frameworks (e.g., Apache Spark, Hadoop, SQL) for real-time data analysis, experience in configuring and setting up servers, preferably edge servers, and knowledge of networking concepts</li><li><strong>Personality and Working Practice: </strong>communicative<strong> </strong>teamplayer with<strong> </strong>strong<strong> </strong>interpersonal skills</li><li><strong>Enthusiasm: </strong>Interest in analyzing complex problems, break them down into manageable tasks, and propose innovative solutions for deployment challenges in edge computing</li><li><strong>Languages: </strong>fluent 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> 6 months</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> Patrick Schlachter (Business Department)<br> +49 1520 6343334</p><p><br> #LI-DNI</p></div></section></div>

Internship in Data Science - Core Algorithms

remote

2 months ago