Thesis (Bachelor): AI-supported 5G Localization

Job ID

504721

Posted since

07-May-2026

Organization

Foundational Technologies

Field of work

Internal Services

Company

Siemens AG

Experience level

Student (Not Yet Graduated)

Job type

Full-time/Part-time

Work mode

Hybrid (Remote/Office)

Employment type

Fixed Term

Location(s)

• Garching - - Germany
  
  

Mode of Employment: Fixed Term

Are you passionate about AI, 5G, and cutting-edge research? Join us for your Bachelor Thesis on “AI-supported 5G Localization” and help shape the future of smart environments and industrial applications!

What We Offer You

• Exciting research and development projects that put your theoretical knowledge into practice
• Individual supervision and support from experienced experts in your field
• Access to the latest technologies, laboratories, and resources
• Diverse opportunities to contribute your ideas and actively shape the projects
• Excellent career opportunities through contact with potential employers
  
  

You'll make an impact by

• You support the analysis of related work on 5G localization, AI-based positioning, and advanced methods such as transformer or LLM-inspired approaches
• Building on this, you review and evaluate suitable AI-supported localization methods regarding feasibility, robustness, and relevance for real-world scenarios
• Subsequently, you investigate and implement learning-based approaches for 5G localization, for example in signal interpretation, environment-aware positioning, or adaptive model selection, using real or simulated data
• Finally, you analyze and compare the impact of modern AI methods on localization accuracy, robustness, and generalization, summarizing your findings in the context of practical application
  
  

This Is How You'll Win Us Over

• Education: You are currently enrolled in a Bachelor's program in Computer Science, Electrical Engineering, Communications Engineering, Robotics, or a related field
• Experience and Skills:
• You have a strong interest in Artificial Intelligence and networking technologies
• You possess a solid understanding of machine learning and Large Language Models
• You have advanced programming experience in Python and are familiar with libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow
• Ways of Working: You work independently, show initiative, and collaborate effectively within a team
• Languages: You have very good English language skills
  

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.

www.siemens.de/careers – wenn du mehr Informationen zu Jobs & Karriere bei Siemens erhalten möchtest.

FAQ – if you need further information on the application process.

If you have any further questions, please feel free to contact us: www.siemens.de/fragenzurbewerbung

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