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Full time, 2 years fixed term. Located at the School of Mathematics and Statistics, Camperdown CampusOpportunity to contribute to research in mathematics for trustworthy AI at the University of SydneyBase Salary Level A, $105,314 $116,679 p.a. + 17% superannuationThe School of Mathematics and Statistics at the University of Sydney is currently seeking a Postdoctoral Research Associate in Mathematics for Trustworthy AI to work on stochastic optimisation and statistical theory for deep representation learning, fair machine learning, privacypreserving learning, multiobjective learning, and AI Safety. There will be potential opportunities to visit the IBM research centre in Yorktown hearts New York, to conduct collaborative research related to trustworthy AI.Your key responsibilities will be to:design efficient stochastic optimisation algorithms for trustworthy machine learning, deep representation learning, multiobjective learning, and AI Safetywork on statistical generalization theory for optimisation algorithms and the intricate interaction between statistics, computational optimisation, and trustworthy elements (e.g., fairness, differential privacy, and robustness)conduct extensive experimental validation of the developed learning algorithms and carry out industrial applicationscontribute to external engagement and academic communications.About youThe University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Mathematics for Trustworthy AI who has:a PHD (or near completion) in mathematics, applied mathematics, data science, statistics, or a related areaan excellent track record of publishing highquality papers on machine/deep learning, machine learning theory or optimisation in toptier venuesresearch experience in machine learning and related areas #J-18808-Ljbffr