Software Engineer-Data PackagingHEO8 ($110,291-$123,734) | Full-Time24 months Fixed-term ContactHelp shape Australia’s national infrastructure for agricultural research data and make a tangible difference to global food security.The University of Adelaide leads the Australian Plant Phenomics Network (APPN), a national research infrastructure initiative established through the Commonwealth’s National Collaborative Research Infrastructure Strategy (NCRIS). APPN delivers cutting-edge imaging and data collection technologies for plant phenotyping, supporting research in controlled environments, field sites, and remote locations. The network consists of nine nodes strategically positioned across Australia’s diverse climate zones—spanning WA, SA, ACT, Victoria, NSW, and Queensland—and is hosted by eight leading universities and one state government department.We’re looking for a skilled and motivated Software Engineer (Data Packaging) to join the APPN Central Data Team. In this role, you’ll develop foundational software tools in Python that ensure our plant phenotyping data is findable, accessible, interoperable, and reusable (FAIR). Your work will help deliver consistent, well-documented data packages used by researchers nationwide.Key ResponsibilitiesDesign and implement modular Python software solutions for data packaging and transferDevelop data pipelines integrating sensor, camera, and analytic outputsApply metadata standards (e.g. JSON-LD, RO-Crate, MIAPPE)Work closely with plant scientists, data teams, and IT experts across AustraliaEnsure software aligns with best practices in coding, documentation, testing, and version controlContribute to a collaborative, inclusive, and high-performing team cultureAbout YouYou’ll be a proactive and collaborative developer with a passion for clean code, structured metadata, and sustainable software systems.Selection CriteriaDemonstrated expert knowledge of the Python language and best-practice Python software development.Demonstrated experience using and applying data standards, metadata standards and controlled vocabularies to facilitate data re-use.Demonstrated experience developing software to process and transform data, including understanding of ETL processes.Demonstrated experience in team software development, including coding and documentation standards, Git-based version control, defect and issue management, code review and test.Experience capturing software requirements and translating these into documented designs and implementation plans.Well-developed interpersonal, oral and written communication skills.Capacity to work independently as well as in a team environment.Demonstrated ability to promote the organisational values of integrity, respect, collegiality, excellence and discovery, and a commitment to positively comply with the associated behaviour expectations.Desirable:Understanding of research data management principles, practices, and associated methodologies, encompassing the research data lifecycle, including the FAIR data principles, use of vocabularies and ontologies, globally unique identifiers, metadata standards and handling of CSV/tab-delimited data.Experience developing modular software solutions using Application Programming Interfaces (APIs).Experience building and deploying containerized solutions (Docker, Kubernetes, etc.).Qualifications:Tertiary qualification in either Computer Science or Software Engineering with at least 2 years relevant work experience, or an equivalent combination of education and/or training, including broad experience in a scientific/research and/or industry environment(s).How to ApplyAre you ready to develop innovative software that supports world-class agricultural research? Join the Australian Plant Phenomics Network (APPN) and make a real difference in sustainable agriculture across Australia.Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.***Applications close 11:55pm, Sunday 4th May 2025***The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.For further informationFor a confidential discussion regarding this position, contact:Donald HobernData Management Director, Australian Plant Phenomics NetworkE:donald.hobern@adelaide.edu.auWe are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at time of application.
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