Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI. We are hiring a Research Assistant
-
Alliance for Research & Technology (SMART). This position is part of the program: “Mens, Manus, and Machina: How AI empowers people and the city in Singapore (M3S).” The role offers a 1-year appointment with
-
vibrant community of faculty, researchers, and students working across multidisciplinary areas such as geotechnical engineering, water and environmental systems, materials science, and computational
-
Project Overview Wafer-Scale Integrated Sensing Devices based on Optoelectronic Metasurfaces (WISDOM) focuses on semiconductor wafer growth and processing for photonic applications. This program
-
possess (1) at least a Second Upper Class Honours Degree of Bachelor of Science, or equivalent qualifications, and (2) a PhD degree within a relevant scientific field from a reputable university, including
-
Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat
-
opportunities for upcoming engineers in a very fast-growing sector of smart, efficient and human-centered buildings, an area of great importance to the society. Qualifications • PhD in Building Science related
-
10 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
-
faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in
-
Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as