Sort by
Refine Your Search
-
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
-
applications, and AI integration with surgical robotics. The RA will design advanced algorithms and develop AI tools tailored for medical applications, bridging computational solutions with practical use
-
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
-
Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Collect requirement and conduct development of algorithm
-
scene understanding algorithms (e.g., object detection, semantic segmentation) for fire-response environments. Integrate generative AI models to infer fire dynamics, structural layout, or human presence
-
involves maintaining the existing features of 3D Maze (a maze design and solving platform that supports computational thinking skills) while updating its database and integrating an AI chatbot. The second
-
fusion, and ROS2 implementation. Key Responsibilities: Design and implement real-time radar-inertial odometry algorithms. Extract ego-motion estimation from 4D radar and fuse with IMU data. Evaluate
-
highly considered. Solid understanding of machine learning/deep learning fundamentals. Able to appreciate and explain the mathematical workings of common algorithms for computer vision/NLP/tabular data
-
-of-the-art and innovative models and algorithms to improve port and shipping management efficiency; Propose solutions based on data analytics and operations research to address maritime practical problems
-
. Key Responsibilities: Conduct research and development of AI/ML algorithms, including Reinforcement Learning and multi-agent decision making, for advanced ATFM concepts. Perform data mining, data