The Interactive Robotics Laboratory at ASU-Tempe Campus, Arizona, United States, is seeking a highly qualified postdoc to join the team (open worldwide).
Focus on vision-based indoor navigation. The successful applicant will work on machine-learning approaches for context-aware robot navigation in dynamic home environments shared with humans.
Minimum Qualification Requirements:
* A PhD degree in Computer Science or any other robotics-associated discipline
* Available to start in mid/late March
* Able to work on-site in Tempe, Arizona
Requirements:
- Experience with machine learning in robotics.
- Human-robot interaction.
- Imitation learning in robotics.
- Experience in-depth estimation from monocular RGB cameras.
- 3D simultaneous localization and mapping (SLAM).
- Path planning in dynamic environments.
- Real-time semantic segmentation and object detection.
- Optimizing machine learning models for fast inference on embedded systems.
Deadline: 1st of March.
We will review applications that satisfy the essential requirements and proceed to schedule an online interview for further consideration.
Detailed your CV with your experience in the research mentioned above domains, along with a description of your research interests to; fweigend@asu.edu
Ref: https://interactive-robotics.engineering.asu.edu/