141 systems-science-"https:"-"https:"-"https:"-"https:" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Responsibilities Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon
-
RESEARCH ASSISTANT (PSYCHOLOGY/ OCCUPATIONAL THERAPY) AT THE SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) SIT Health and Social Sciences (HSS) is seeking candidates for the position of a Research
-
assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues at the policy–academic interface. This position is ideal for an early- or mid-career
-
As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification
-
. Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a Master’s or PhD degree will be advantageous. Strong interest and
-
for technical reporting. This position is ideal for candidates with a strong foundation in modern facilities management, mechanical and electrical engineering and energy efficiency management. Key
-
projects. Requirements: Minimum Polytechnic Diploma, or an equivalent qualification. Possession of a Class II boiler license is an advantage. At least 3-5 years of experience in a research or production
-
Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill
-
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
-
Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is