PhD Student - Agent-Based AI Systems and LLMs for Industrial Applications | Doktorand (w/m/d) – Agentenbasierte KI-Systeme und LLMs für industrielle Anwendungen

Siemens AG

München, Bayern, Deutschland
Published Mar 23, 2026
Part-time
Permanent

Job Summary

This role offers a unique opportunity to shape the future of industrial AI at Siemens in Munich. As a PhD candidate, you will conduct cutting-edge research on agent-based AI systems and Large Language Models (LLMs), focusing on multimodal data interpretation and the development of digital twins. Your day-to-day work involves researching novel methods for interpreting complex geometric data, designing generative AI models to transform visual specifications into structured digital representations, and implementing algorithms for semantic analysis of technical documentation. You will collaborate closely with interdisciplinary teams of engineers and data scientists to validate your models in real-world industrial scenarios. The position is highly attractive for researchers looking to bridge the gap between academic theory and industrial application, offering the chance to present findings at international conferences, file patent disclosures, and mentor junior students within a globally recognized technology leader.

Required Skills

Education

Master's degree or Diploma in Computer Science, Mathematics, Engineering, or a comparable field of study.

Experience

  • Professional experience in Artificial Intelligence, specifically Computer Vision and Generative AI
  • Practical experience in applying Large Language Models (LLMs) to multimodal problems
  • Demonstrated experience in Python programming and using AI frameworks like PyTorch or TensorFlow
  • Experience or strong interest in geometric data processing or computer graphics
  • Experience in independent scientific problem-solving and academic research

Languages

German (Basic)English (Fluent)

Additional

  • This is a part-time position (20 hours per week) based in Munich. Candidates must have the ability to present research at international conferences and file invention disclosures.