14 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" research jobs at Singapore University of Technology & Design
-
. The position is suited for candidates who enjoy working with real-world data and translating quantitative insights into planning, design, and policy applications. The successful applicant will join a growing
-
and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
-
the Position: As Research Assistant, you will be part of an interdisciplinary, dynamic team conducting empirical research with professionals across various industries. You will: Support or lead data
-
Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed
-
field studies Develop and validate instruments for psychological and behavioural assessment in urban settings Conduct data analysis using relevant statistical, spatial, or computational tools with
-
behavioral science will be a plus. The candidate will be expected to: Conduct and write systematic literature reviews and meta-analyses Coordinate and participate in fieldwork and data collection Conduct
-
system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
-
, education, and urban environmental design. In particular, the project will investigate how exploratory cognitive states – inferred from wearable physiological sensors, motion capture, and behavioral data
-
psychology, cognitive science, human-computer interaction, communication science, or a related field. Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed
-
given - Perform microscopy and nanodevice analysis Program and design PLC systems Apply Computer Vision for machine hardware feedback and control Generate technical reports, white papers, and