Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 3rd Dec'20 and 7th Jan'21
3. are available for duration of 6 months
4. have relevant skills and interests
1. Domain knowledge and implementation experience with Kalman filtering, inertial sensors, and general sensor fusion
2. Real-world experience with system integration and deployment
3. Worked on sensor fusion and path planning
4. Experience with real-time robot/vehicle/drone positioning and localization
5. System dynamics and kinematics modeling for ground vehicles
6. Experience in the fields of pose estimation, camera, radar, lidar, inertial sensors, vehicle modeling, dynamics, control, etc.
7. Should have a strong background in localization, probabilistic filtering, and nonlinear optimization techniques
8. Should have hands-on knowledge of data structures and algorithms for point cloud processing, and are familiar with ROS (robot operating system) and PCL (point cloud library)
9. Should have hands-on knowledge in Matlab and Simulink
10. Should have real-world experience in implementing nonlinear Kalman filtering and Multi-Object trackers (e.g. EKF, UKF, and GMPDH, TOMHT, JPDA)
11. Should have experience in programming in C++ and with robust, safety-critical, efficient code
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