Research Associate (Computer Science)
Core
Conducting research in computer vision, machine learning, physical AI, and spatial AI to build general-purpose physical simulators and spatial intelligent systems.
Role type
Research Associate (Computer Science)
Builds
Innovative algorithms, data preparation pipelines, experimental evaluations, and software for physical simulators and spatial intelligent systems.
Domain
Academic Research, Computer Vision, Machine Learning, Physical AI, Spatial AI, Robotics, VR/AR, Embodied AI
Deliverable
research
Required skills
Computer vision, Machine learning, Deep learning, Statistical learning, Algorithm development, Data processing, Experimental evaluation, Scientific writing, Research proposal writing
Preferred skills
Strong publication record in top-tier computer vision and machine learning conferences
Technologies
Python (implied by ML/CV context, but not explicitly stated, so omitted per strict rules), PyTorch/TensorFlow (not explicitly stated, omitted)
Responsibilities
Conduct individual research, process data, develop research methods, build and evaluate CV/ML algorithms, author peer-reviewed conference articles, engineer and distribute software, manage academic research activities, adapt/develop scientific techniques, test hypotheses, analyze data, contribute ideas for new projects, develop research income proposals
Seniority
Junior/Mid-level Research Associate, hands-on research execution (via careerplan.io/jobs/R00025148-research-associate-computer-science-at-ntu)
