Localization and Mapping Research Scientist Intern

Summary

Join our team of innovators to make the world a better place through autonomous logistics systems! As a localization engineer, you'll be responsible for keeping up with state-of-the-art algorithms, developing software, and carrying out tests. We're looking for students or professionals in Computer Science, Robotics, or related fields.

Requirements

• Undergraduate and master's degree students in Computer Science, Robotics, or related fields are welcome
• Strong familiarity with localization algorithms, not limited to feature extraction, semantic segmentation, full SLAM techniques
• Experience with probabilistic robotics
• Experience with research in robotics or related fields involving sensors
• Experience with C++ and Python in a Linux environment
• Flexible problem-solver

Responsibilities

• To keep abreast of the current state-of-the-art localization algorithms, with specific focus on LiDAR and Visual-Inertial Odometry
• To study and assist with development variety of algorithms related to localization and mapping e.g., based on EKF and other filtering techniques, and to be able to implement the odometry system for autonomous ground vehicles with high computation efficiency
• Carrying out tests for different methods and coming up with detailed summary of evaluation and figuring out problems and coming up with ideas to solve problems
• Software design and development