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data, integrating multiple data sources, and supporting analytical modelling that informs infrastructure planning and policy. The position emphasises robust data engineering practices, reproducible
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 11 hours ago
, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will develop and maintain R packages in statistical design and modelling, while also providing
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business and operating model transformation. More specifically you must have: Extensive, demonstrable and recent experience leading large-scale, multi-stream programs, ideally within data, digital
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to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement
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implement impact-driven delivery models within a diverse research environment. Experience developing, leading or managing complex research initiatives, programs or strategic portfolios. A passion for
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. Solid understanding of contemporary AI concepts including large language models, agentic systems, prompt engineering, orchestrations, tool-use and retrieval patterns. Extensive Experience working with one
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, integrated, and sustainable data and analytics operating model that enables confident decision‑making, regulatory assurance, and institutional performance. This involves developing a data driven culture and
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, including simulation, optimisation, and visualisation. The successful candidate will work closely with the systems modelling team and foster productive collaborations with University and Defence stakeholders
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research projects focused on developing dynamic decision analytics, including simulation, optimisation, and visualisation. The successful candidate will work closely with the systems modelling team and
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experience in interdisciplinary leadership and bring: A track record of successfully fostering collaboration with partners and networks to achieve real world impacts and implement impact-driven delivery models