Spatial Data Scientist – Machine Learning & Remote Sensing
Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF)
Homepage: https://www.cifor-icraf.org/
Energy, Resources and the Environment (ERE)
Geosciences Instrumentation and Data Systems (GI)
Summary of responsibilities
Spatial data science
* Design and implement machine learning pipelines for geospatial analysis, including feature engineering, model selection, hyperparameter tuning, and validation.
* Develop and deploy deep learning models (CNNs, RNNs, LSTMs, Transformers) for image classification, segmentation, object detection, and time series forecasting. * Apply advanced AI techniques for predictive modeling and mapping of indicators relevant to ecosystem health assessment using field data and multi-source remote sensing.
* Process and analyze optical data (Sentinel 2, Landsat 8/9) and SAR data (Sentinel 1), including data fusion and feature extraction for ML workflows.
* Implement time series analysis and forecasting models, including trend detection, anomaly identification, and predictive analytics for vegetation, precipitation, and land surface dynamics.
* Develop scalable, reproducible spatial data processing workflows and contribute to MLOps practices.
* 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 on machine learning, AI applications, and spatial data science.
* Capacity development of partners and stakeholders through workshops as part of projects with particular emphasis on ML-driven spatial analysis and modeling.
Stakeholder engagement
* Work closely with the CIFOR-ICRAF stakeholder engagement team (SHARED) to provide AI-driven 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.
To apply, please visit our career site at:
http://www.cifor.org/careers and https://www.worldagroforestry.org/working-for-icraf