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A Research Engineer to support the research for developing perception algorithms based on 4D radar. A Research Engineer position is available in the area of sensors perception and platform design in a project that involves simultaneous localization and mapping (SLAM) algorithms and deep learning object detection.
The successful candidate will work with Prof. Danwei Wang and a group of Research Fellows, Research Associates, and Ph.D./Masters/Bachelors students in the school of EEE at Nanyang Technological University, Singapore.
Key Responsibilities:
Perform research, development, implementation, and experimentation of the perception algorithms based on 4D radar
Solve problems of robust perception in rainy weathers and expand the usage of the technologies to other weather conditions such as fog and smoke
Utilize expertise in deep learning, simultaneous localization and mapping to contribute to research activities
Responsible for algorithms design and implementation
Conduct place recognition based on 3D and 4D radar fusion
Develop 4D radar SLAM algorithm
Collaborate with interdisciplinary teams to integrate radar-based perception into larger systems
Other engineering support on hardware and software
Job Requirements:
A Bachelor/Master degree in automatic control, robotics, electrical engineering, etc
Strong skills in C++, Python, Linux, and experience with ROS, and code management tools (git)
Experience with algorithms based on different sensors (4D radar, 3D LiDAR, rgb cameras, thermal cameras, etc)
Familiar with deep learning frameworks (such as Pytorch)
Experience with deep learning based object detection
Experience with SLAM and multi-sensor fusion algorithms
Experience with place recognition based on sensors fusion
Preference will be given to applicants with the following additional skills:
Has experience in multi-sensor perception and SLAM algorithms.
Has experience in Lidar, cameras, radar, etc.
Has experience in projects related to autonomous systems or robotics.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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