0.0 - 4.0 years

0 Lacs

delhi

On-site

This position is based in Sydney, Australia at UNSW, one of Australia's top research and teaching universities known for its vibrant campus life and strong sense of community and inclusion. As an employee at UNSW, you will have the opportunity to collaborate with the best minds in your field and make a meaningful difference in your career. The School of Mathematics and Statistics at UNSW is a prestigious institution with a diverse range of research interests in applied and pure mathematics, as well as statistics. The school is internationally recognized for its excellence in mathematics and statistics, consistently ranking in the top 100 universities worldwide in these disciplines by CWTS Leiden, US News, and QS. As a Research Associate, you will be involved in collaborative and self-directed research on an ARC-funded Discovery Project titled High Dimensional Approximation, Learning, and Uncertainty. The project aims to develop and implement innovative schemes for high-dimensional approximation that are reliable, accurate, fast, and tailored to specific applications. You will work under the guidance of Professor Frances Kuo and Professor Ian Sloan, contributing to various research activities and outputs. Key Responsibilities: - Conduct research in High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team. - Lead some areas of the project when opportunities arise. - Contribute to writing scientific papers and reports for international journals. - Assist in coordinating research activities and meeting project milestones. - Participate in conferences and workshops relevant to the project. - Supervise honours and HDR students. - Adhere to the Code of Conduct and Values of UNSW. - Ensure compliance with health and safety policies and procedures. Qualifications and Skills: - PhD in Mathematics, preferably in computational mathematics or related field. - Ability to conduct independent research with limited supervision. - Strong interpersonal and communication skills. - Knowledge in Quasi-Monte Carlo methods, finite element analysis, or machine learning is desirable. - Proficiency in computer programming (Matlab, C++, or Python). - Team player with the ability to collaborate across disciplines. - Commitment to UNSW's values, objectives, and policies. - Understanding of health and safety responsibilities. To apply for this role, address the selection criteria specified in the position description. For more information about working at UNSW, visit www.unsw.edu.au. UNSW is dedicated to equity, diversity, and inclusion, encouraging applications from individuals of diverse backgrounds. Flexible work options and workplace adjustments are available for eligible staff. Applications close on August 8th, 2025. For inquiries, contact Frances Kuo at f.kuo@unsw.edu.au. Please apply online as applications sent directly will not be accepted.,

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