Space Engineering Technology PhD Scholarship in Australia – Ceramic Composite Materials and Processes
Space Engineering Technology PhD Scholarship – Ceramic Composite Materials and Processes
Space Engineering Technology PhD Scholarship – Ceramic Composite Materials and Processes
About us
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Division: |
Research and Innovation |
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Department: |
Centre for Future Materials |
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Classification: |
PhD (Higher degree by research) in Civil Composites |
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Location: |
Toowoomba |
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Date: |
15 February 2018 |
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Responsible to: |
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Division: |
Research and Innovation |
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Department: |
Centre for Future Materials |
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Classification: |
PhD (Higher degree by research) in Polymer Composites |
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Location: |
Toowoomba |
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Date: |
12 February 2018 |
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Responsible to: |
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Division: |
Research and Innovation |
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Department: |
Centre for Future Materials |
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Classification: |
PhD (Higher degree by research) in Civil Composites |
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Location: |
Toowoomba |
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Date: |
12 February 2018 |
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Responsible to: |
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Division: |
Research and Innovation |
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Department: |
Centre for Future Materials |
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Classification: |
USQ Academic Level B |
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Term: |
Full-time fixed term appointment for 2 years |
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Location: |
Toowoomba |
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Date: |
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Division: |
Research and Innovation |
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Department: |
Centre for Future Materials |
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Classification: |
USQ Academic Level B |
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Term: |
Full-time fixed term appointment for 3 years |
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Location: |
Toowoomba |
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Date: |
Research Topic – Manufacture of Aerospace Structures using Automated Fibre Placement.
Carbon Fibre Reinforced Plastic (CFRP) composites are being used increasingly in the load-bearing structure of aerospace vehicles. Automation is vital for better productivity of these large structures. This project will lead to the establishment of a state-of-the-art automated fibre placement (AFP) research capability at the Centre for Future Materials (CFM). This project will be key to ensuring the success and future growth of the aerospace sector in Queensland and Australia.
Department: Centre for Future Materials, University of Southern Queensland, Australia
Classification: PhD (Higher degree by research) in the following area
We are looking for a PhD candidate to work on numerical modelling of composites manufacturing. Automation drives down the production cost in composites manufacturing. The project focus on self-learning process modelling coupled with real-time pressure field monitoring. The integrated virtual-physical approach aims for : (1) real-time prediction of defect formation, and (2) real-time optimisation of process correction parameters. Self-learning process modelling is the enabling technology towards smart factory.
Remuneration