The Role
Develop and analyze high-resolution climate datasets, build data-processing workflows and platforms, support modeling and forecasting (PyCPT, WRF, RegCM), deliver technical training, conduct applied research, and translate climate data into decision-support products.
Summary Generated by Built In
1. Climate Data Analysis and Systems
Development
- Develop, manage, and analyze
high-resolution climate datasets (e.g., ENACTS products combining station,
satellite, and reanalysis data).
- Conduct statistical and geospatial
analysis to support climate monitoring, variability, and change assessments.
- Develop workflows and tools (primarily
in Python and R) for data processing, analysis, and visualization.
- Contribute to the development and
enhancement of climate data platforms (e.g., Maprooms, APIs, decision-support
tools).
2. Capacity Building and Training
- Design and deliver technical training
for NMHS and RCC staff and sectoral users.
- Support training-of-trainers
approaches to scale climate services uptake.
- Work closely with partners to
strengthen institutional capacity in climate data management, analysis, and use.
3. Modeling and Forecasting
Applications
- Support numerical modeling efforts,
including regional and weather models (e.g., PyCPT, WRF, RegCM).
- Contribute to climate diagnostics,
seasonal forecasting, and scenario analysis.
- Apply modeling outputs to sectoral
applications (agriculture, water, health, DRM).
4. Research and Knowledge Generation
- Conduct applied research on climate
services, climate variability, and climate change impacts.
- Contribute to technical reports,
policy briefs, and peer-reviewed publications.
- Translate climate data into actionable
climate information for decision-making.
Requirements
- Master’s degree (or bachelor’s with
5-year experience) in Meteorology, Atmospheric Science, Climate Science,
Physics, Mathematics, or related field.
- At least 3 years of relevant
professional experience, preferably working at NMHSs or climate-related
institutions.
- Demonstrated experience contributing
to research, operational climate services, or technical project implementation.
- Strong understanding of:
o Climate data systems and observational
networks
o Climate analysis and forecasting
processes
o Climate service delivery frameworks.
Skills Required
- Master's degree in Meteorology, Atmospheric Science, Climate Science, Physics, Mathematics, or related field (or bachelor's with 5 years' experience)
- At least 3 years of relevant professional experience
- Demonstrated experience contributing to research, operational climate services, or technical project implementation
- Experience developing workflows and tools primarily in Python and R for data processing, analysis, and visualization
- Strong understanding of climate data systems and observational networks
- Strong understanding of climate analysis and forecasting processes
- Knowledge of climate service delivery frameworks
- Experience working at National Meteorological and Hydrological Services (NMHSs) or climate-related institutions
- Experience with regional/weather models or tools such as PyCPT, WRF, RegCM
- Experience designing and delivering technical training or training-of-trainers
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
CIFOR-ICRAF is a collaborative research organization and a global leader in using trees, forests, and agroforestry to tackle global challenges such as climate change, biodiversity loss, food insecurity, and inequality, by enhancing landscape resilience.
