Your tasks:

• Building a depth cameras + RGB cameras -based acquisition system for human performance capture.
• Testing and Development of new machine learning/computer vision approaches for real-time hand reconstruction and interaction with objects.
• Parallel Computing (CPU / GPU), High-Performance Computing

Your qualifications:

• Bachelor in Computer Science or similar.
• Experience in programming, machine learning (deep learning, neural networks), computer vision (image processing and segmentation, optical flow), human-robot/computer interaction is considered a plus. Preferred tech: Python, PyTorch, OpenCV, C++.
• Good English skills
• Enjoy working in a dynamically growing team.

Relevant publications:

• https://av.dfki.de/publications/handvoxnet-deep-voxel-based-network-for-3d-hand-shape-and-pose-estimation-from-a-single-depth-map/
• https://av.dfki.de/publications/handvoxnet-3d-hand-shape-and-pose-estimation-using-voxel-based-neural-networks/

Please send your references to Nadia.Robertini@dfki.de and fbav-sek@dfki.de.