The Visual Computing Group has a variety of job offers, including PostDoc / PhD positions and Master / Bachelor theses. Candidates should be strongly interested in performing cutting edge research in very active and exciting areas, such as deep learning, 3D modeling, and many more.

PostDoc Positions


PostDoc Positions (TV-L E13/14, 100%)
3D Reconstruction, Semantic Scene Understanding, and Markerless Motion Capture
Qualification PhD degree; track record at top-tier venues (CVPR, SIGGRAPH, ECCV, ICCV, NIPS); C/C++ expert level; profound knowledge of numerical optimization; extremely high motivation and dedication
Description We are looking for exceptional PostDocs in computer vision, computer, graphics, and machine learning. The Visual Computing Group focuses on digitizing real-world environments and semantic scene understanding. This area is heavily inspired by the rapid progress of range sensing technology, such as the Microsoft Kinect and LIDAR systems, as well as the availability of large data collections. In addition to this newly-available sensor technology, algorithmic advances in deep learning and convolutional neural networks open up a wide range of opportunities for cutting-edge research in static and dynamic 3D capture; for instance, targeting applications in virtual and augmented reality.
Contact Prof. Dr. Matthias Nießner  
Extra
DocumentsCV; Transcripts (BA & MA); Short Research Statement; ask two references to directly email recommendation letters to support your application

PhD Positions


PhD Positions (TV-L E13, 100%)
3D Reconstruction, Semantic Scene Understanding, and Markerless Motion Capture
Qualification Masters degree; C/C++ expert level; strong background in numerical optimization; good english skills are essential; some set of vision / graphics / ML lectures; knowledge in scripting languages that are used by modern deep learning frameworks (e.g., Lua or Python) is a plus; extremely high motivation and dedication
Description We are looking for outstanding PhD candidates who are enthusiastic about cutting edge research in computer vision, computer, graphics, and machine learning. The Visual Computing Group focuses on digitizing of real-world environments and semantic scene understanding. This area is heavily inspired by the rapid progress of range sensing technology, such as the Microsoft Kinect and LIDAR systems, as well as the availability of large data collections. In addition to this newly-available sensor technology, algorithmic advances in deep learning and convolutional neural networks open up a wide range of opportunities for cutting-edge research in static and dynamic 3D capture; for instance, targeting applications in virtual and augmented reality.
Contact Prof. Dr. Matthias Nießner  
Extra
DocumentsCV; Transcripts (BA & MA); Short Research Statement; ask two references to directly email recommendation letters to support your application

Master/Bachelor Thesis


Master Theses
Deep Learning, 3D Reconstruction, and Visual Computing
Qualification only for TUM students; C/C++ expert level; strong background in numerical optimization; knowledge in scripting languages that are used by modern deep learning frameworks (e.g., Lua or Python) is a plus; extremely high motivation and dedication
Description We offer a variety of master theses, including "Semantic Understanding of 3D Scenes with Deep Learning", "Robust 3D Reconstructions with Commodity RGB-D Sensors", "Face Tracking and Facial Reenactment", "A Language for Non-Linear Least Squares Optimization in Graphics and Vision". If you are interested and highly-motivated to work at the intersection of computer vision, computer, graphics, and machine learning, please send us an email!
Contact Prof. Dr. Matthias Nießner  
Extra
DocumentsCV; Transcripts (BA & MA)