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As a working student, you will support generative engineering projects in the areas of energy systems, powertrain, and thermal systems. You will help develop and optimize generative and automated workflows, methods, and tools for virtual product development, while contributing to model-based simulations and optimization processes. Working closely with internal teams and external partners, you will gain hands-on experience in interdisciplinary engineering projects.
Required experience:
- Ongoing studies with a technical background
- Interest in modern product development methods, automation as well as new technologies and the application of AI in engineering
- Motivation to familiarize yourself with the topic of generative engineering (first points of contact with the topic, e.g. from studies or projects, are an advantage)
- Interdisciplinary understanding of technical contexts as well as initial experience with modern "low code" tools, e.g. Synera or comparable, is desirable
- Independent, structured way of working and ability to work in a team as well as enjoyment of interdisciplinary cooperation
- Good knowledge of German and English
If you have experience with Synera (e.g. through a challenge, project or self learning), highlight it in your CV. Do you want to receive some tips and best practices to be successful? Just reach out to us at education@synera.io.
