The Interactive Robotics Laboratory [1] at Arizona State University (ASU) is currently seeking a highly qualified postdoc to join our team with a 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.

Location:ASU-Tempe Campus, Arizona, United States (Open to Worldwide Applicants)

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

Additional Requirements (some of the following):* 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 systemsApplications:Deadline is the 1st of March. Kindly send your CV to f******d@asu.edu. We will review applications that satisfy the essential requirements and proceed to schedule an online interview for further consideration. Please detail your achievements/experience in the aforementioned research domains, along with a description of your research interests.

About Us:The Interactive Robotics Laboratory is directed by Prof. Heni Ben Amor. We explore the intersection of robotics, artificial intelligence, and human-robot interaction. Our primary focus is on developing machine learning methods that empower robots to exhibit intelligent and autonomous behaviors. The lab has established strong collaborations with leading robotics and machine learning research groups globally, and our methods have been applied to robots in the US, Europe, and Japan.

We look forward to hearing from you![1]https://interactive-robotics.engineering.asu.edu/ https://interactive-robotics.engineering.asu.edu/