We are starting several new projects dealing with 3D understanding of the environment through image sensors for automation and robotics as well as augmented reality applications and are looking for several research assistants (m/f/d).
- Contribution to research and development in the field of Deep-learning-based scene and human understanding.
- Contribution to research and development in real-time vision-based human-object interactions (e.g. object recognition, semantic understanding, physical interaction interpretation)
- Scientific literature research, experimentation with state-of-the-art algorithms and original work leading to high-impact scientific publications.
- Degree in Computer Science (Master or comparable)
- Very good knowledge in some of the following areas:
- machine learning and deep learning,
- image processing and computer vision
- Very good programming skills (C++ and Python)
- Experience with Deep Learning frameworks (TensorFlow, PyTorch)
- Experience with real-time computer vision applications
- Excellent communication skills and ability to work in a team
We offer excellent working conditions with interesting research topics in an interdisciplinary team at an internationally renowned research institute. There is the possibility to start a PhD at the TU Kaiserslautern. For more information about our research area, please visit: http://av.dfki.de
The German Research Center for Artificial Intelligence (DFKI) is Germany’s leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods. In the international scientific community, DFKI ranks among the most recognized “Centers of Excellence” and currently is the biggest research center worldwide in the area of Artificial Intelligence and its application in terms of number of employees and the volume of external funds. The DFKI cooperates closely with national and international companies.
DFKI encourages applications from people with disability; DFKI intends to increase the proportion of female employees in the field of science and encourages women to apply for this position.