NRC

• Support the design and implementation of CLEAR’s data architecture. • Partner with developers and data engineers to design and stand up the environment needed to train and fine-tune models (including data ingestion pipelines, compute and GPU resources, experiment tracking and MLOps tooling) actively shaping that environment rather than waiting for it to be provided. • Develop machine learning and deep learning models that integrate multiple data streams to detect early indicators of humanitarian crises, combining earth observation and satellite imagery, conflict event data, climate monitoring, economic indicators, and population movement patterns into unified risk assessment frameworks. • Build computer-vision and remote-sensing models on satellite and aerial imagery (for example flood-extent mapping, building and settlement detection, displacement-site monitoring, infrastructure damage assessment and land-cover change detection) and fuse these earth observation outputs with non-imagery signals. • Contribute to building automated alert systems that identify emerging crises, calibrating prediction algorithms for different crisis types. • Create ensemble modelling approaches that combine traditional statistical methods with advanced AI techniques. • Fine-tune and adapt foundation models and large language models to humanitarian use cases such as document triage, multilingual report analysis and situation summarisation. • Explore venues for adapting models to evolving crisis conditions through reinforcement learning systems. • Implement impact-based forecasting systems that translate meteorological, conflict, and economic predictions into specific humanitarian consequences such as displacement volumes, food insecurity levels, and infrastructure damage estimates. • Build decision trees and recommendation engines that guide field staff through systematic needs assessment processes informed by predictive analytics and historical response data. • Create automated reporting systems and interactive dashboards that enable field teams and leadership to access real-time data for rapid response activities.