Sensor Fusion for Autonomous Vehicle & Robot Localization, Environment Mapping

We are looking for an intern in indoor localization

Job Responsibility

•            Design and implement algorithms for intelligent car & robot localization ( indoor localization and mapping via sensor fusion (visual SLAM, IMU, dead reckoning, etc.)

•            Create meaningful environment models and reconstructions from 2-D/3-D sensor data

•            Integrate algorithms into existing robotics / vehicle platform and perform real-world testing

•            Review project requirements, survey available technologies, and check feasibility regarding requirements and resources

•            Fulfill the project goals timely and with quality

•            Document processes and results during development, especially for the key milestones

•            Work pro-actively within team to feedback processes and problems timely, and to discuss and find solutions

Knowledge competencies and attributes

Required:

•            Major in computer science, software engineering, robotics, AI, electronic engineering, or other relevant technical background

•            Solid knowledge in sensor data (e.g. images, pointclouds) or other digital signal processing

•            Good C/C++ and/or Python programming skills

•            Good communication skills to work in an international team

•            Proficient in oral and written English and/or German

•            A quick learner who is self-driven and detail-oriented

•            Can work at least 3 days/week, and continue 3-6 months

Preferred, but not required:

·       Experience with RGB and/or 3D cameras or other automotive sensors (e.g. Lidar, radar)

·       Experience with robotics or automotive system development

·       Experience with SLAM or sensor fusion

·       Experience with ROS (Robot Operating System)