Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- University of British Columbia
- Singapore Institute of Technology
- Harvard University
- Nature Careers
- Fritz Haber Institute of the Max Planck Society, Berlin
- Instituto de Estudos Avançados, Universidade de São Paulo (IEA-USP)
- São Paulo Research Foundation
- University of Antwerp
- ASNR
- Butantan Institute
- CENTD/Intitute Butantan
- Chung-Ang University
- Florida Atlantic University
- Ghent University
- Institut Imagine
- KNAW
- KTH Royal Institute of Technology
- Laboratório CENTD/ Instituto Butantan
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Natural Sciences and Engineering Research Council of Canada
- Norwegian Center for Violence and Trauma Stress Studies
- Simon Fraser University
- Southern University of Science and Technology
- University of Montpellier
- Yangzhou University
- 17 more »
- « less
-
Field
-
sensors and apply them to novel applications. Technically, your work will involve the design and construction of optics and electronics, clean room fabrication and software development, as well as theory
-
Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
-
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
-
Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
-
interactions with such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D
-
investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to
-
• Strong background in robotics, kinematics and dynamics • Prior experience in control with tactile sensing or adaptive learning control for robotic manipulators is a plus • Strong communication skills