Working Student Position

Vor 3 Tagen

Garching bei München, Deutschland Siemens Vollzeit

Job ID
- 478542
- Posted since
- 02-Oct-2025
- Organization
- Foundational Technologies
- Field of work
- Internal Services
- Company
- Siemens AG
- Experience level
- Student (Not Yet Graduated)
- Job type
- Part-time
- Work mode
- Hybrid (Remote/Office)
- Employment type
- Fixed Term
- Location(s)
- Garching - Bayern - Germany

**Mode of Employment**:Limited, max. 20h/week
- Ready to transform the future of technology? Join our team in Garching as a Working Student in Geometric Deep Learning and Simulation, and bring groundbreaking ideas to life with state-of-the-art resources

**You'll make an impact by**
- You will assist in the development of advanced geometric deep learning models, focusing on tasks such as 3D classification, segmentation, and registration
- Additionally, you will support the team in implementing AI-driven optimization algorithms and generating datasets for training and testing these models
- By contributing to synthetic dataset generation via graphics pipelines and simulation techniques, you will help enhance the robustness and accuracy of our models

**This is how you'll win us over**
- ** Education**: You are currently enrolled in a Bachelor's or Master's program in Computer Science, Mathematics, Mechanical Engineering, Electrical Engineering, or a related field
- ** Experience and Skills**:

- Foundational knowledge of Machine Learning and Neural Networks
- Strong programming skills in Python, C++, C#, and familiarity with Rust
- Solid understanding of 3D modeling, CAD, Computer Graphics, Geometry Processing, and experience in Modeling & Simulation
- ** Ways of Working**: You thrive in collaborative environments and are keen to contribute your ideas to cutting-edge projects
- ** Languages**: Proficiency in English is required

**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.

sagworkingstudent

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