Sort by
Refine Your Search
-
Engineering in the 2025 QS World University Rankings by Subjects. The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and
-
Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Conduct independent and collaborative research on unified visual understanding
-
tools and pipelines; develop and optimize workflows for omics data interpretation. • Develop and maintain GitHub repositories and user-friendly scripts for data visualization by other researchers
-
, with the ability to translate complex data into actionable insights. Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization
-
writing and presentation and has exceptional grantsmanship and project management skills. He or she can perform data analysis/data visualization and willingly learns from others and shares knowledge with
-
with the PI and local research teams • Manage field-based data collection, including surveys, interviews, focus groups observational assessments • Design and validate survey instruments and context
-
21 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 22
-
simulations and develop control and data pipelines for acquisition, reconstruction, and visualization; provide measurement-driven feedback to the detector team; dissemination of results through publications
-
for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
-
for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning