PhD Candidate in Multimodal AI for Digital Model Synthesis | Doktorand (w/m/d) – Multimodale KI zur Synthese digitaler Modelle

Siemens AG

München, Bayern, Deutschland
Published Apr 20, 2026
Full-time
Permanent

Job Summary

Join a leading industrial team in Munich as a PhD candidate focused on the intersection of multimodal AI and digital model synthesis. In this role, you will research and develop innovative methods to interpret and generate complex geometric data, transforming visual specifications into structured digital representations. You will work extensively with Large Language Models (LLMs) and semantic analysis to convert technical documentation into machine-readable formats. A core part of your day-to-day will involve collaborating with cross-functional teams of engineers and data scientists to validate AI models against real-world industrial use cases and prototyping 3D digital twins from 2D data. This position is ideal for a creative, self-driven researcher eager to solve complex scientific challenges within a global technology environment. You will benefit from a flexible work environment, professional development opportunities, and the chance to contribute to cutting-edge industrial automation projects.

Required Skills

Education

Master's degree in Computer Science, Mathematics, Engineering, or a related field; currently pursuing or intending to pursue a PhD.

Experience

  • Academic or professional experience in Artificial Intelligence, specifically Computer Vision and Generative AI
  • Practical experience applying Large Language Models to complex or multimodal problem sets
  • Proficiency in Python programming and standard AI frameworks
  • Experience or strong interest in geometric data processing or computer graphics

Languages

German (Fluent)English (Fluent)

Additional

  • Must be enrolled in or pursuing a PhD program. Location: Munich, Germany. Work permit for Germany is required.