UAV Data Architect — Lead FAIR Imagery Platform

Adelaide University; Adelaide; On-site; AUD 138,000 - 147,000; Full time

Job summary

Adelaide University’s Australian Plant Phenomics Network (APPN) invites a UAV Data Architect to lead data architecture and standards for the NUAVRIR project. You will work with researchers, developers and stakeholders to ensure robust data processes and FAIR data delivery.

You will collaborate with APPN and NCRIS partners to implement metadata, licenses and data principles, supporting national and international research networks and enabling innovative agricultural science.

Qualifications

• Experience leading or supporting a small team in a data or informatics environment.
• Familiarity with research data, archiving tabular data and digital assets.
• Experience authoring and curating metadata, applying standards, identifiers, licences and data principles.
• Experience in large-scale, complex projects in data/tech space.
• Proven ability to interact with stakeholders, users and technical staff.

Responsibilities

• Lead development and implementation of robust data architecture, management frameworks and standards for the NUAVRIR project.
• Establish data processes and standards for flight parameters, context, platform characteristics, imagery and derived data assets to enable a FAIR national collection.
• Collaborate with APPN central staff, node teams and NCRIS partners to deliver reusable data products and new applications.

Skills

Team leadership

Data & informatics

Metadata & standards

Stakeholder communication

Complex project experience

Job description

Adelaide University’s Australian Plant Phenomics Network (APPN) invites a UAV Data Architect to lead data architecture and standards for the NUAVRIR project. You will work with researchers, developers and stakeholders to ensure robust data processes and FAIR data delivery.

You will collaborate with APPN and NCRIS partners to implement metadata, licenses and data principles, supporting national and international research networks and enabling innovative agricultural science.