338 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at Curtin University
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the portfolio to support initiatives such as the Global Scholars Program and Campus Transfers, delivering training to global campuses, and monitoring student experience and satisfaction across mobility programs
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, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses. The Computing discipline offers industry‑aligned, Australian
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encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information, please visit our Diversity and Inclusion page - https
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- https://staff.curtin.edu.au/discover-curtin/diversity-equity-and-inclusion-at-curtin/ What We Offer You: This permanent G06 level role attracts a remuneration of $96,323 - $102,186 (G06) per annum, plus
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solutions to improve systems and processes. Selection Criteria: Essential: A degree in Software Engineering, Computer Science, or a related field. Proven experience developing complex, enterprise-level cloud
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of emerging fields, including Artificial Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s global campuses
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expertise in mathematics, biometry, bioinformatics and data science, together with agribusiness, actuarial science, geographical information systems, farming systems and plant pathology. We have strong
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Inclusion page - https://staff.curtin.edu.au/discover-curtin/diversity-equity-and-inclusion-at-curtin/ What We Offer You: Situated on Whadjuk Nyungar Country, our vibrant Bentley campus includes an art
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autonomously in a complex environment High level of computer literacy and software proficiency Desirable Previous experience with Insurers Degree/Diploma in health-related allied or discipline Role Requirements
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in data engineering or a related field Proven skills working with large datasets, databases and ETL pipelines. Expertise in modern data engineering tools and platforms (e.g., AWS, DevOps, Power BI