137 software-engineering-model-driven-engineering-phd-position-"Multiple" positions at CSIRO in Australia
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, robotics, cybersecurity, modelling, and analytics. As part of the Distributed Sensing Systems research group, you will develop and deploy low-power embedded sensing technology for natural and built
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Lead the strategic direction of People Insights and Technology across a large, complex
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to let their ideas flourish. About CSIRO At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our
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CSIRO’s Sustainable Mining Technologies research program is driving innovation to create a safer, more efficient, and environmentally responsible resources sector. Within this program, the Distributed Mine Sensing Team plays a vital role in developing advanced photonic sensing systems tailored...
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technology, it promises to have a major impact on society, in science and beyond. In Australia, the SKAO is collaborating with CSIRO to operate and support the construction of the low frequency telescope (SKA
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engineering practices in five challenging areas associated with mine geoenvironment. This position sits within the Mine Geoenvironment team and as the Mining Groundwater Modeller, you will play a vital role in
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of senior researchers, engineers, postdocs, and PhD students working together toward impactful science and mutual growth. In this role, you will apply your expertise in aquatic biogeochemical and ecological
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involving the world leading farming systems model, APSIM. This work will involve working with scientists and software engineers across multiple CSIRO sites, and with staff of industry collaborators and in
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agency, CSIRO is solving the greatest challenges through innovative science and technology. Many of our iconic innovations were once considered impossible until someone, just like you, joined us and took
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into experiments, prototypes, and minimal viable products across various domains. You’ll need a strong engineering background with applied AI knowledge particularly in large language models (LLMs). Contribute