Earth Observation Data Scientist

• Location of work: ACT, Offsite
• Length of contract: 6 Months 24 months extension
• Application closing date: Friday, 14 July 2024
• Australian Citizen - Able to obtain Baselin
  
  

The roles will work closely with Earth Observation Scientists and a Technical Lead to develop and implement scalable satellite data science workflows to deliver robust and operational products within high performance cloud computation environments.

We are seeking specialists who can deliver solutions for the following three roles:

• Role 1: Develop solutions for an Antarctic Open Data Cube that suits polar projections.
• Role 2: Test and adapt existing Synthetic Aperture Radar (SAR) and interferometric SAR processing workflows for Australian and Antarctic conditions.
• Role 3: Test and adapt existing optical analysis ready data workflows for Antarctic conditions. Contribute to other roles as required.
  
  

Working arrangements:

Preferred working arrangement is 8 hours/day, 5 days/week. Max 40 hours/week Onsite preferred but can consider flexible arrangements.

Essential Criteria

• Knowledge, experience and/or qualifications in coding and software development (ideally Python, Fortran also desirable).
• Experience in image processing and classification using remote sensing algorithms and/or Machine Learning techniques with optical and/or synthetic aperture radar (SAR) remotely sensed data.
• Experience with DevOps practices (CI/CD and infracode) and cloud computing (preferably in an AWS environment).
• Experience in geospatial analysis, ideally using packages such as xarray, pandas, numpy and services.
• Demonstrated ability to work in a team as part of a broader program, working towards organisational priorities.
• Demonstrated ability to undertake work under limited direction with the opportunity for reasonable initiative, self-directed work and accountability.
  
  

Desirable criteria

• Demonstrated ability to develop highly scalable workflows in AWS using Infrastructure-As-Code (i.e. Terraform) and workflow management tools (e.g., Airflow and Argo Workflows)
• Experience with radiative transfer code like 6S and MODTRAN and/or SAR data processing software such as GAMMA, ISCE3 and SNAP
• Engineering large scale automated processing workflows (e.g., using Argo Workflows, Airflow, SNS event-driven processing)
• The ability to work effectively with technical and non-technical stakeholders.