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Research Fellow (Multi Modal based SLAM)
Nanyang Technological University
Singapore, NTU Main Campus, Singapore
LinuxGitMATLABPhDAssociates degreeGraduate degree
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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow, in the area of robotic navigation in a project that involves simultaneous localization and mapping (SLAM) algorithm development implementation for the firefighting scenarios where the noises caused by fire and water spray can degrade the mainstreamed SLAM algorithms severely. 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 Electrical and Electronic Engineering (EEE) at Nanyang Technological University, Singapore. Key Responsibilities: Perform research, development, implementation, and experimentation of the autonomous navigation algorithm for mobile robots in smoky environments Solve challenges in multi modal (4D Radar, 3D Lidar, RGB Camera and Thermal Camera) simultaneous localization and mapping (SLAM), such as outlier robust state estimation, multi-sensor fusion, and gradient-free optimization Develop multi-modal SLAM software for autonomous robotics based on project requirements Responsible for robot design and implementation (advise on the sensor mounting for better perceiving and fusion) Handle other engineering support on software and hardware Job Requirements: Ph.D. degree in automatic control, robotics, etc Familiar with single/multi-robot SLAM, SLAM back-end solver (Factor Graph, Gradient-free Optimization, Kalman filter), and multi-sensor fusion algorithm Strong skills in C++, Matlab, Linux, and experience with ROS, and code management tools (git) Experience with autonomous robotics platforms, and navigation algorithms with different sensors (3D LiDAR, RGB cameras, thermal cameras, IMU) Experience with real-world robot system design and integration. Good verbal and written communication skills in English and Chinese as the incumbent is required to liaise with vendors in China Experience in industrial product commissioning and delivery Experience with collaborative SLAM for the multi-robot system is a plus Prior working experience with miili-wave radar is a plus We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive
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