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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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Collider at CERN in Geneva. During the past few years vast datasets have been collected, allowing us to probe the Standard Model with world-leading sensitives. Research projects typically involve analysing
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. We also collaborate closely with researchers at CERN and at Fermilab, and with our LHCb colleagues through the Monash-Warwick Alliance in Particle Physics. Joint projects with an LHCb focus
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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processing and phase transformation. The candidate will work with experimental datasets from techniques such as electron microscopy, EBSD, X-ray diffraction, X-ray imaging and in situ characterisation
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are implemented which detect and correct errors using classical processing known as Decoding. However, decoding must be completed at fast speed and large-scale to ensure errors are fixed before they accumulate. In
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jobs by other users leading to wrong answers. Similar security issues have been detected in the process of quantum error correction or software level compilations. In this project, PhD student will
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strong communication and problem-solving skills and the capacity to conduct independent, quantitative research. They should have either completed, or be in the process of completing, a Bachelors H1 Honours
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principles of the Athena SWAN Charter . This position has a two-stage selection process: Stage 1: Please submit your interest to Professor Muhammad Usman at [email protected] With the EOI please
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, fairness and openness . We fully support the gender equity principles of the Athena SWAN Charter . This position has a two-stage selection process: Stage 1: Please submit your interest to Professor Muhammad