PhD, Intern, and PostDoc Positions in Visual Computing / Machine Learning
The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k - 57k Euro / year + benefits). For interns, we offer a stipend to cover living expenses. Click here to learn more about our research.
Topic / Area: The positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim to revolutionize the research field in 3D learning.
Our current research topics:
  • Neural Rendering
  • Generative AI: Diffusion, GANs, etc.
  • 3D Reconstruction
  • SLAM / Pose Tracking
  • Semantic Scene Understanding
  • Face / Body Tracking
  • Non-Linear Optimization
  • Media Forensics / Fake News Detection
Required qualifications:
  • Masters degree
  • Expert level coding skills
  • Background in vision / graphics / ML
  • Proficient english skills
  • Strong background in numerical optimization
  • Knowledge in scripting languages used by modern deep learning frameworks (e.g. Python)
  • Extremely high motivation and dedication
  • Interns only:
    • Ongoing PhD (for longer than two years)
    • At least one top tier publication (CVPR, ICCV, ECCV, Siggraph, etc.)
  • PostDocs only:
    • Completed PhD (or very close to completion)
    • Strong publications record at top tier venues (CVPR, ICCV, ECCV, Siggraph, etc.)
Required documents:
  • Brief CV (one page)
  • Short and precise research statement (maximum one page) answering the following questions regarding your targeted research area:
    1. What concrete problem do you want to solve?
    2. Why do you want to solve it?
    3. How do you want to solve it?
    4. What are your expected final results and general aims?
    5. Add any relevant references (preferably papers by you)
  • Bachelors and Masters Transcripts
  • At least two recommendation letters
Important: Follow the guide on how to use this system in order to apply for any open position