9 component-labeling PhD scholarships at Swinburne University of Technology in Australia
Sort by
Refine Your Search
-
affect surface outcomes, benchmark against conventional techniques, and evaluate performance of the finished components. You’ll also delve into intelligent automation and machine learning to optimise
-
experience in the below key accountabilities: Comfortable working both independently and as part of a team, and enjoy collaborating with others. Strong problem-solving and organizational skills, with
-
EVs, underscoring a critical need for reimagined roadside safety solutions. This PhD scholarship is part of a larger, multi-stream research project in collaboration with KSI Global Australia
-
the state of Victoria over the coming years. The successful candidate will take part in investigating improved care continuity and coordination, diversion of people from the criminal justice system, reduced
-
modelling, simulation tools such as COMSOL, and programming in MATLAB, Python, or C++. You'll be part of a supportive environment that values creativity, technical excellence, and impactful research. By
-
work independently and as part of a team. • Exceptional administrative and organisational skills, including time management and excellent attention to detail, the ability to prioritize and follow through
-
Enrolled in a research higher degree course on a full-time or part-time basis Not be receiving an equivalent award or scholarship from the Commonwealth designed to offset HDR fees Value Covers the cost
-
Applications are open The PhD project is part of a collaborative project: ‘A “virtual market” for analysing the uptake of energy efficiency measures in residential and commercial sectors’, funded by
-
studying full-time or part-time in a Vocational Education course at Swinburne; and have spent time in formal ‘out of home care’ in Australia. This could be foster, kinship, residential, or permanent care