Internship Python Development for Data Engineering and the Automation of Simulations

vor 2 Wochen


Renningen, Baden-Württemberg, Deutschland Bosch Vollzeit
Job Description During your internship, you will assist in the design and implementation of simulation workflows, including the setup of software interfaces, data handling and software orchestration to automate comprehensive multiphysics simulations. You will support software development from brainstorming to implementation and testing in an interdisciplinary team of scientists, software- and web developers. Furthermore, you will develop algorithms for data processing (ETL), visualization, data models and evaluate the use of machine learning methods for specific applications. Your job includes the development of new Python software modules as part of the overall simulation workflow. Last but not least, you are responsible for maintaining code quality, through Clean Coding, Test Driven Development, version control.

Qualifications

Education: studies in the field of Engineering, Computer Science, Natural Sciences, Software Engineering or comparable Experience and Knowledge: excellent coding skills in Python (especially in Pandas, PyTorch, Plotly) including version control ( Git) and object-oriented programming; working on Linux systems; experience in creating and working with data models; knowledge of numerical simulation methods and machine learning is a plus Personality and Working Practice: communicative, structured and creative Enthusiasm: passion for "automating everything" Languages: very good in German and/or English

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

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.

Need further information about the job?
Alexander Fuchs (Functional Department)

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