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Transformation of Carbon Dioxide (GETCO₂). Under the leadership of A/Prof Christopher Leonardi and Dr Travis Mitchell, the CML has built a 10-year track record of impactful collaboration with major industry
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to contemporary challenges while mentoring the next generation of leaders. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial
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frameworks (MOFs), and related materials using hybrid classical-quantum algorithms. A key component of the role involves using first-principles methods that capture strong electronic correlations, such as DFT
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significant but currently distributed research expertise in order to maximise research impact and output. The Collaboratory is the primary means by which UQ enacts its commitment to research excellence in
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for this appointment. Questions? For more information about this opportunity, please contact Prof Andrew Whittaker a.whittaker@uq.edu.au For application inquiries, please reach out to the Talent Acquisition team
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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opportunity, please contact Prof Ali Cheshmehzangi via hos@adp.uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au , stating the job reference number
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quantum algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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at Griffith University. We are seeking applicants with active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage