Working Student (f/m/d) for Simulation Data Management

Aufgaben:

You support the team by setting up the research project's working environment, including installing and configuring PLM software and simulation tools Building on this, you manage, upload, and curate simulation and product development data to facilitate the development of AI tools Subsequently, you assist with data analytics tasks to extract valuable insights from complex simulation datasets In addition, you contribute to coding tasks that support the ongoing research activities Optionally, you help manage and deploy components of cloud infrastructure to ensure scalable and efficient project execution

Qualifikation:

Education : You are currently pursuing a Bachelor's degree in engineering, computer science or a related field Experience and Skills : Basic knowledge of product development processes Proficiency in coding, preferably in Python; other programming languages are an advantage Experience with data science tasks and industrial simulation tools (e.g., CFD, FEM, System's Simulation), with practical knowledge of at least one tool-preferably from Siemens-being a plus Ways of Working : You work independently, are eager to learn, and demonstrate a hands-on mentality Languages : Very good command of English; German language skills are an advantage

Über Uns:

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That's why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant. As an equal opportunity employer , we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities. The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.