In A Nutshell
NRC is looking for a qualified person /entity to lead the development and implementation of the AI-powered components of the early warning and alert system for the Sudan rapid response mechanism.
Responsibilities
- Designing and implementing machine learning models for crisis detection and early warning.
- Developing pattern recognition algorithms for identifying crisis signals from satellite imagery, media/social media, weather data, and conflict indicators.
- Creating data processing pipelines to integrate multiple data sources (field reports, satellite imagery, social media, weather forecasts, conflict data).
- Implementing AI models that can function with limited training data in the Sudanese context.
- Validating and testing models with humanitarian datasets specific to Sudan.
- Comprehensively documenting model performance and limitations.
- Building the initial dashboard and data visualization components.
- Optimizing models for field deployment under Sudan’s infrastructure constraints.
Skillset
- 5+ years experience in applied machine learning/data science.
- Strong programming skills in Python and ML frameworks (TensorFlow/PyTorch).
- Experience with NLP for media monitoring and computer vision for satellite imagery analysis.
- Knowledge of predictive modeling for crisis/conflict scenarios.
- Experience working with limited and messy datasets typical in humanitarian contexts.
- Master’s degree or higher in Data Science, Computer Science, or related field.
- Understanding of responsible AI principles and ethical considerations in crisis contexts.