Spacial Data Scientist- Remote Sensing

1 week ago

Western Downs Regional, Australia Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) Full time $80,000 - $120,000 per year

Spatial data science

  • Optical data processing and analysis, including from sensors such as Sentinel 2 and Landsat 8/9.
  • SAR data processing and analysis, primarily Sentinel 1.
  • Timeseries analysis, including detection of trends and anomalies in temporal data (vegetation, precipitation, land surface temperatures, etc)
  • Predictive modeling of time series data, including forecasting where relevant.
  • Applications of machine learning for predictive modeling and mapping of indicators relevant to assessment of ecosystem health using a combination of field data and remote sensing.
  • Spatial data analysis tasks, including spatial queries, vector data extraction, processing, and cleaning.
  • General data analysis and report writing.
  • Supervise a team of junior spatial data scientists and developers.
  • Develop communication products/outputs where relevant.

Capacity development

  • Lead internal capacity development seminars within CIFOR-ICRAF.
  • Capacity development of partners and stakeholders through workshops as part of projects with particular emphasis on spatial data processing and modeling.

Stakeholder engagement

  • Work closely with the CIFOR-ICRAF stakeholder engagement team (SHARED) to provide analytical outputs that feed into project delivery, for example monitoring outputs as part of the Great Green Wall.
  • Contribute to stakeholder engagement events as part of the development of decision support tools and platforms.

Various other tasks

  • Contribute to micro-dashboard development as part of the Global Resilience Impact Tracker platform
  • Support projects and programs with analytical support and stakeholder engagement with decision makers.
  • Lead and/or contribute to scientific papers.
  • Contribute to proposal development and writing.
Requirements

Education, knowledge and experience

  • MSc degree in remote sensing and spatial data science is required with proven ability to conduct highly complex analytical tasks.
  • Excellent interpersonal skills.
  • Excellent written and spoken English.
  • Advanced computer programming skills in R Statistics, some knowledge of Python and/or Julia, database technologies, and data management.

Personal attributes and competencies:

  • Excellent skills in organizing and priority setting, with the ability to work effectively under time pressure and manage multiple priorities.
  • Have initiative and capable of working independently as well as an effective team player.
  • Good interpersonal and communication skills, with the ability to effectively interact with people in a multi-disciplinary and multi-cultural environment.
  • Experience working with a wide and diverse network of groups and individuals.
  • Proactive, target driven, and diligent.
  • Works with trustworthiness and integrity.

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