Mandatory Internship in Machine Learning Integration into Automated CFD Workflows for Virtual Product Development with Python
Location
Schwieberdingen | Germany
Job description
Virtual data driven development is our mission. By combining our profound expertise in CFD simulation, data science and powertrain engineering we support various business units developing the mobility of the future. To further increase scalability and efficiency of our workflows, we are offering an internship opportunity for a highly motivated individual to enhance an existing automated workflow with machine learning applications to support the development process.
If you are passionate about simulation, programming and data driven engineering, we need you to support our team.
- During your internship, you will perform a detailed assessment of an existing, highly automated 3D CFD workflow. You will implement new features, user support and code improvements.
- Enable data-driven development by utilizing Machine Learning (ML) techniques and you will be integrating them into the workflow.
- You will work with other engineers and researchers, you will explore and exploit high-dimensional design spaces using Design of Experiments (DoE) and Knowledge Discovery (KD).
- Furthermore, you will be an active part of our international team, focused on virtual, data driven development, supporting different business units developing the mobility of the future, e.g. for H2-applications.
- Last but not least, you will continuously document and present within our worldwide network.
Qualifications
- Education: studies in the field of Computational Engineering, Engineering, Data Science or comparable
- Experience and Knowledge: in Python Programming, basic knowledge of CAD, CFD and/or machine learning a plus
- Personality and Working Practice: self-motivated, responsible, innovative and team-oriented
- Languages: very good in English or German
Additional Information
Start: according to prior agreement
Duration: 3 - 6 months (confirmation of mandatory internship required)
We offer you
- 35 hours/week with flextime
- a permanent contact person who will accompany you during your internship
- a modern working environment, as well as mobile working by arrangement
- the opportunity to become part of our student network students@bosch Stuttgart
- discounts in our company restaurants
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?
Robin Hellmann (Functional Department)
+49 711 811 15957
#LI-DNI
Job tags
Salary
