On-site Full Time 3 year or below Entry level Job Description Applicants should possess a Master's degree in Engineering or related disciplines, with one-year full-time working experience, preferably with project management experience in collaborative robot development and/or human-centered research. For applicants applying for the robotic research track, they are preferred to have experience in: Robot control and system development; Vision and graphics; Machine learning and deep learning; Software design and development. Good programming skills are highly preferred. For applicants applying for the human-centered research track, they are preferred to have experience in: Human subject testing; Data analytics; Human factor/ergonomics research. Skills in functional near-infrared spectroscopy (f NIRS) and electroencephalogram (EEG) are highly preferred. Responsibilities: Develop and evaluate 3 D vision techniques for environment understanding, including human body reconstruction and tracking, scene understanding, and video analytics. Develop and evaluate novel interactive interfaces with AR/VR technologies for human-robot collaborations. Develop and evaluate motion planning algorithms for complex robotic manipulation for textile assembly. Invent and evaluate benchmarks for human-robot collaboration tasks in the garment industry. Work in close collaboration with researchers from partner institutions. Integrate the developed algorithms, techniques, and hardware to the system prototype, and contribute to human-robot collaboration showcases with our collaborators from the garment industry. Five-day work week, Medical insurance Additional Information Job Level Entry level Publish Date08/11/2024 Job Ref. No. RP3_RAsso_2307 Education Requirement: Master's Degree Industry: Manufacturing - Garment Job Function Research & Development (R&D)Company Overview The Centre capitalises on artificial intelligence and robotics to develop new technologies that will transform the garment industry. The research outcomes aim to enable more sustainable and adaptive manufacturing, empower the garment workforce, create higher-level job opportunities, and improve the work environment.
#J-18808-Ljbffr