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modelling and faster digital technologies. We pride ourselves on closely aligning our teaching with the University’s research‑intensive ethos. Research‑led learning is embedded at every stage of our
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will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and
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the chance to participate actively in staff trainings and development projects based on your interests and needs. We value work-life balance and well-being in all aspects of life. We work in a hybrid model
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letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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the holistic understanding of space and its broader societal, ethical, and environmental impacts. Through responsible, multi-disciplinary research, including novel sensors, environment modelling
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application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not missed any of our