Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
for energy saving purpose. The role will focus on geometric representation, multi-physics numerical simulations, machine learning and manufacturability constrained design optimization given metal additive
-
degree in Signal Processing, Machine Learning, Information Engineering, Applied Mathematics, Information Science, or other related majors is required. Consideration will also be given to candidates who
-
, and laboratory/field experiments Cost-benefit analysis, General equilibrium model, Advanced econometrics Machine learning techniques including text analysis, and related subjects Well-versed in
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our
-
to validate theoretical approaches, utilizing machine learning techniques to derive meaningful conclusions. Collaborative Projects: Engage in collaborative research with interdisciplinary teams, contributing
-
Project Officer (Civil Engineering/Materials Science/Mechanical Engineering/Construction Technology)
, mechanical testing, mix design preparation). Familiarity with AI or data-driven tools, such as: machine learning for prediction/modelling, data analytics for material/printing optimisation, or AI-assisted
-
learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
-
experimental data from both literature and in-house experiment results Use state-of-the-art machine learning models to develop a multi-scale droplets evaporation model Assists in co-supervision of Final Year
-
priority will be given to those in the following areas. Artificial intelligence (with a focus on Machine Learning, Multi-agent Systems) Systems and networking Cyber security Established in collaboration with
-
Part-Time Lecturer in School of Electrical & Electronic Engineering - EE6203 Computer Control System
as Part-Time Lecturer for EE6203 Computer Control System. The Part-Time Lecturer is expected to teach this postgraduate course commencing in January 2026. This 13-week course will be offered