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Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.
NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Robotics%29/33299-en_GB/
We regret that only shortlisted candidates will be notified.
. Robot design.
The candidate is expected to assist in the design, fabrication, and testing of a novel robotic system based on application-related specifications.
. Robot experiments.
The candidate is expected to support the definition of experimental protocols, in terms of trials and parameters to measure, to help with the experimental set-up, experimental validation, performance testing, and iterative improvements of developed prototypes and with the recording and analysis of experimental results.
. Collaborate with cross-functional teams to integrate mechanical, electrical, and software components into functional robotic systems.
. Support applied projects in collaboration with industrial partners and contribute to technology transfer efforts.
. Present research findings at international workshops, conferences, and internal project meetings.
. Contribute to the preparation of technical reports and assist in writing articles for publication in top-tier journals and conferences.
. Mechanical Engineering degree
. Robotics expertise: knowledge of robotics and soft robotics fundamentals, skills for robot design.
. Research experience, even as a student, including skills for experimental research and paper preparation.
. Hands-on experience in robotics, soft robotics, or interactive systems.
. Proficiency in CAD software, prototyping, and mechatronics.
. Ability to work collaboratively in a multidisciplinary team environment.
. Strong problem-solving skills and creativity.
Job ID: 149150051
Skills:
Prototyping, Hands-on experience in robotics, Robotics expertise, Mechatronics, Proficiency in CAD software, Robot design, Soft robotics fundamentals
Skills:
C, Python, Decentralised collaborative SLAM, SLAM, reinforcement learning, Calibration, Environment mapping, Moving object tracking, Planning And Scheduling, Sensor-based odometry, Localisation, Trajectory planning, Multi-sensor calibration, Trajectory prediction, Mission Autonomy, Controls, Map-based localisation, Robotics Autonomy Technologies, Decentralised task allocation, Motion Planning, Scene graphs, perception, Semantic mapping
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