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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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of at least a subset of PHP, C/C++, C#, Perl, Powershell, Python, Erlang, SQL, JavaScript, etc. Good understanding of networking concepts and protocols (networks, vlans, routing, TCP/IP, DNS, DHCP, HTTP, etc
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discipline. Demonstrated programming proficiency (e.g., Python, C++, Java) and sound understanding of software-engineering practices. Experience with DevOps/MLOps tools and workflows, including
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ad-hoc reports by extracting and analysing data from various sources—such as HR, Student, Publications, and Grants—using tools like Excel, Python, and SQL. You understand and commit to UNSW’s aims
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Microsoft Defender, Intune, vulnerability scanners, or cloud platforms (Azure, AWS). Familiarity with scripting or automation (e.g., PowerShell, Python) for security tasks. Flexibility and adaptability
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challenges. Advanced expertise and extensive experience in the use of analytical tools such as R, Python, Business Objects, Power BI, Plotly (Dash), and similar software for data transformation and analysis
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experience with a demonstrated commitment to ongoing professional development. Proficiency in programming languages, including Python, JavaScript, and familiarity with R where applicable. Experience with
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solutions, managing complex integrations, data governance, and sustainable operational frameworks using a wide range of technologies, including SQL, Python, Power BI, cloud data platforms, API integrations
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an advantage. Experience with supercomputers, github, conda environments, Python & reproducible research documents such as RMarkdown an advantage. Demonstrated ability to undertake high quality academic research
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experience with Linux (Ubuntu), ROS/ROS2, and Python for scripting, data handling and simple control nodes; Git basics; familiarity with machine vision/ML toolchains desirable. Workshop skills: safe use and