15 parallel-and-distributed-computing-phd Fellowship research jobs at RMIT University
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Overview: RMIT Europe, in collaboration with RMIT University, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Regenerative Design Interventions in
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. Qualifications and requirements A PhD in Engineering or Computer Science with relevance to the outlined research area. A first degree in Engineering with research experience in creating digital twins or digital
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Overview: RMIT Europe, in collaboration with RMIT University and Eurecat, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Water Use Fit for Purpose
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Overview: RMIT University, in collaboration with ACCIONA, is looking for a Postdoctoral Fellow to join the AuSpire Program. This position will focus on Geopolymer Optimised for Acid Exposure
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salary and 17% Superannuation Based at one of the RMIT’s Melbourne campuses (City, Brunswick or Bundoora) About the Program Each year, RMIT brings on the world’s best and brightest researchers and teams
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postgraduate research students. Ability to contribute to the teaching and learning program in a relevant field. Qualifications: Mandatory: PhD in Ecotoxicology or Environmental Science or in a relevant field
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and the School of Computing Technologies to advance research on bushfire evacuation and emergency planning and preparedness in hazard events. You will support the research aim and objectives of the ARC
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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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. As your experience grows, you’ll take on more responsibility and contribute more independently to the research program. We welcome applicants at either Level A (Research Assistant) or Level B (Research
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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation