33 data-"https:"-"https:"-"https:"-"https:"-"UNIV"-"UNIV" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
Sort by
Refine Your Search
-
carrying out tasks independently Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405654/research-engineer-f… Requirements Additional Information STATUS: EXPIRED X (formerly
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
-
testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and
-
and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform
-
behaviour testing of steel and aluminium members/connections iii. Fabrication trials and validation of welded structural components iv. Data acquisition, instrumentation and monitoring during laboratory
-
devices; evaluate and integrate new analytical instrumentation. Testing & Characterization: Design and execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform
-
, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
-
Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
-
modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
-
conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities