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AUAumovio

Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation(m/w/x)

Berlin
VollzeitPraktikummit Homeoffice
AI/ML
Data Science

Developing and evaluating metric-guided synthetic in-cabin image data for autonomous mobility at a sensor solutions firm. Master's program enrollment in AI/ML/CV and prior diffusion model exposure required. Powerful GPU infrastructure access, with journal club participation.

Anforderungen

  • Enrollment in a master’s program in Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics, or a related field
  • Strong Python programming skills
  • Solid understanding of deep learning and computer vision fundamentals
  • Experience with PyTorch or similar deep learning frameworks
  • Prior exposure to diffusion models, GANs, or synthetic data generation
  • Experience with pose estimation, activity recognition, or multimodal models
  • Familiarity with CLIP, ControlNet, or image quality evaluation metrics
  • Experience using Git, Docker, and GPU-based training
  • Previous research projects, internships, or open-source contributions are a plus
  • Independent, structured, and goal-oriented
  • Strong analytical thinkers with good problem-solving skills
  • Curious and creative when exploring new ideas
  • Good communicators who enjoy working in a team
  • Motivated to deliver high-quality and reproducible research
  • Proof of enrollment in a master’s program
  • A current transcript of grades
  • An excerpt from your study regulations confirming master’s thesis requirements
  • Valid residence permit and work permit if not from the EU

Aufgaben

  • Implement diffusion-based image generation models
  • Experiment with image generation techniques
  • Develop an evaluation pipeline for synthetic in-cabin image datasets
  • Investigate metric-driven feedback loops for image quality improvement
  • Analyze synthetic data's impact on computer vision tasks
  • Summarize findings in a master’s thesis and potential research paper or patent

Ausbildung

  • Laufendes Studium

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • Python
  • PyTorch
  • Git
  • Docker

Benefits

Attraktive Vergütung

  • Fair remuneration for thesis work

Mentoring & Coaching

  • Close supervision by experienced researchers
  • Participation in journal clubs

Moderne Technikausstattung

  • Access to powerful GPU infrastructure

Weiterbildungsangebote

  • Technical talks

Team Events & Ausflüge

  • Networking events

Sonstige Vorteile

  • Diversity, Inclusion & Belonging
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