Master Thesis in 3D Computer Vision

DeepScenario and TU Munich (TUM) invite applications for a Master Thesis in the field of 3D computer vision. You will join our dedicated team of experts and research on various computer vision and deep learning topics. Your overall goal is to develop and improve algorithms for monocular 3D reconstruction and camera calibration.

Your responsibilities:
  • Conduct state-of-the-art research in visual mapping and localization
  • Apply your novel approaches to solve real-world computer vision tasks such as reconstructing static environments in 3D
  • Benchmark models on well-known research datasets
  • Work closely with our team and your supervisor
Your Qualifications:
  • Currently enrolled in a Master’s degree at TU Munich in the field of Computer Science, Robotics, Physics, Mathematics, or Engineering
  • Strong programming skills in Python and PyTorch
  • Theoretical and practical experience in computer vision and deep learning
  • Highly motivated team player
  • High degree of autonomy and excellent problem-solving skills
Your Benefits:
  • Work on latest machine learning approaches in one of the most innovative fields
  • Conduct your research at the chair of Prof. Dr. Daniel Cremers (TUM)
  • Be part of an investor-backed company with a dedicated team of experts
  • Possibility to work in Munich or remote
  • Great team spirit in an agile environment
Interested? contact us
Please send your application to including your CV, transcript of records, and work certificates.