Research Lead

The Research Lead will provide scientific and operational leadership for AfriClimate AI’s applied research portfolio, guiding the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. The role involves coordinating a multidisciplinary team, collaborating with African and international partners, and ensuring research outputs are high-quality, open, and impactful.

Research Leadership & Delivery

• Lead the design, implementation, and evaluation of AI-powered, localised climate and weather forecasting methodologies.
• Support the integration of observational data, satellite products, and global reanalysis datasets with AI-based and statistical models.
• Develop benchmarking frameworks for model performance, including bias correction and uncertainty quantification.
• Implement and manage MLOps pipelines for training, deployment, monitoring, and updating AI models in production environments.
• Coordinate cross-functional teams on data collection, model training, and deployment.
• Manage timelines, milestones, and deliverables in line with project objectives.

Stakeholder Engagement and Knowledge Dissemination

Requirements

Essential Qualifications & Experience

Desirable Skills & Experience

Benefits

AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

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