Computational Mechanics and Optimisation for Energy Absorption of Materials
Value
Living stipend scholarship at the Research Training Program rate: $28,092 per annum (tax-exempt)
Fee waivers may also be considered
Duration
3 years (possible 6 month extension)
Status
Open
Opens
15/01/2021Overview
The project “Machine learning-based design of triply periodic minimal surface structures” is calling for applications for PhD scholarship commencing in 2021. This project is funded by the Australian Research Council Discovery Early Career Researcher Award. Candidates with knowledge and research experience in computational mechanics, design optimisation and machine learning are encouraged to apply.
This project aims to develop a new approach to design of new lightweight, crashworthy and manufacturable structures by taking advantage of the latest technologies in computational optimisation, artificial intelligence and additive manufacturing. The study intends to develop a new machine learning-based multiscale design framework to seek optimal materials and structures, considering fabrication-induced defects and uncertainty. The expected outcome of this project is new methodologies for generating eco-friendly structures with robust mechanical properties in crashing applications. This should provide significant benefits to transport industries by enhancing structural safety and energy saving for next generation vehicles.
Who is eligible?
- Master Degree by research or Bachelor Degree with strong academic record which is equivalent to First -Class Honours;
- Major: Mechanics, or Mechanical, or Civil Engineering;
- Domestic students or international students (meeting UTS English Proficiency requirement) currently residing in Australia.
Selection process
- Demonstrated self-motivation and commitment to work on research topics.
- Demonstrated experience in undertaking research in the fields of computational mechanics, design optimisation and machine learning.
- Excellent written skills evidenced by scientific journal papers, conference papers, or technical reports.
- Excellent interpersonal and oral communication skills.
Applicants must meet the eligibility and address all the selection criteria. In addition to the above eligibility criteria for the scholarship, students should meet the UTS admission requirements to UTS PhD program. The minimum eligibility requirements for admission are available at https://www.uts.edu.au/future-students/postgraduate/essential-info/admission-requirements.
How to apply
In the first instance, interested applicants should send their CV, brief (maximum one page) supporting statement, 3 referees and publications (if applicable) to Dr Jianguang Fang at Jianguang.Fang@uts.edu.au and following the initial endorsement by the supervisor, applicants will go through the UTS online application process.
Need more information? Contact...
Dr Jianguang Fang
Other information
The scholarship will remain open until filled.
