Mode of Employment: Fixed Term / Part-Time; (16-20 hours / week)
Are you passionate about AI and ready to shape the future of industrial edge networks? Join us in Garching as a Working Student (f/m/d) and dive into cutting-edge research—from implementing reinforcement learning algorithms to contributing to impactful publications.
Connect, learn, and grow with our Working Student Network – your space to exchange ideas, build meaningful relationships, and navigate your Siemens journey.
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You support the implementation and evaluation of reinforcement learning algorithms, applying your Python skills and mathematical knowledge to real-world industrial edge network scenarios
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You assist in developing and experimenting with LLM-based agent frameworks and coordination mechanisms, helping to advance innovative AI solutions for distributed systems
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Building on these activities, you contribute to the design, execution, and documentation of research experiments, ensuring that results are systematically recorded and analyzed
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Finally, you help prepare research papers by analyzing data, creating figures, writing sections, and presenting findings to both internal and external audiences
This is how you'll win us over
- Education: You are currently successfully studying computer science, mathematics, electrical engineering, or a related field
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Experience and Skills:
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You have a solid foundation in mathematics, especially in optimization
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You demonstrate proficiency in Python programming and a fundamental understanding of networking concepts
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Experience with deep learning, reinforcement learning frameworks, or academic writing is advantageous
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Ways of Working: You work independently and collaboratively, showing strong analytical and problem-solving skills
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Languages: Very good English skills are required
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
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.
About Us
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.
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