Climate and Marine Modelling Assistant

About

IGAD Climate Prediction and Applications Centre (ICPAC) is recruiting an early-career Climate and Marine Modelling Assistant to support processing, analysis, visualization and quality control of climate and marine datasets and model outputs. The role contributes to operational information products, modelling, forecasting, research and data-analysis activities for climate services, early warning and marine applications. Applicants need a relevant master's degree, at least four years' related professional experience, and strong quantitative, programming and data-analysis skills. Reference: IGAD-CMMA Duty station: Nairobi Salary: In accordance with IGAD salary scale and applicable policies, taking into account the candidate’s qualifications and relevant experience. Terms of service: The appointment shall be for an initial period of one year, renewable subject to the availability of funds and satisfactory performance, with the first three months constituting a pr

How to apply

Send an application in PDF format to recruitment@igad.int with the subject line: ‘IGAD-CMMA’. Include a cover letter, curriculum vitae, copies of academic credentials, copy of professional certification, copy of passport’s biometric page/national identity card, and three reference persons including one from the last employer.

Responsibilities

• Process and analyse climate, weather, ocean and wave model outputs.
• Assist in the preparation of climate and marine forecast products, analyse parameters such as rainfall, temperature, wind, sea surface temperature, waves, currents, sea level and other relevant variables and support monitoring and analysis of climate and marine extremes and hazards.
• Download, process, quality-control and organize climate and marine datasets, work with scientific and geospatial data formats such as NetCDF, GRIB and GeoTIFF, support integration of model outputs with satellite and in-situ observations and extract and analyse data for specific geographic areas, cou
• Develop and maintain basic scripts and workflows for data processing and analysis.
• Use Python, R, MATLAB or equivalent tools for scientific data analysis.
• Support automation of routine modelling and forecast-product generation.
• Support comparison of model outputs with observations, assist with forecast verification and preparation of performance statistics.
• Prepare maps, graphs, time-series and other visualizations for technical and operational use.
• Support monitoring of climate and marine conditions for early warning, contribute to preparation of routine and event-based climate and marine information products and provide technical inputs to climate outlooks, marine forecasts and Blue Economy information services.
• Support research and analysis related to climate variability, climate change, marine hazards and forecasting, contribute to technical reports, presentations, publications and project activities and undertake other related duties assigned by the supervisor.

Qualifications

• Master’s degree in meteorology, Atmospheric Sciences, Oceanography, Marine Science, Climate Science, Environmental Science, Physics, Mathematics, Geospatial Science, Computer Science or a related field.
• Relevant postgraduate qualification will be an added advantage.
• At least four (4) years professional experience related to climate, meteorological, marine, environmental or geospatial data analysis.
• Experience in one or more of the following areas is mandatory: Climate or marine modelling; Numerical weather prediction; Ocean or wave modelling; Climate data analysis; Earth Observation and remote sensing; GIS and geospatial analysis; Climate forecasting and early warning; Scientific programming a
• Experience in working with scientific or environmental datasets and demonstrate the ability to handle large datasets and undertake basic statistical analysis.
• Knowledge of climate and/or marine science.
• Familiarity with Python, R, MATLAB or similar programming languages/tools.
• Familiarity with scientific data formats such as NetCDF, GRIB, GeoTIFF or similar formats.
• Basic GIS and data-visualization skills.
• Ability to work with large datasets and conduct statistical analysis.
• Familiarity with modelling systems and datasets such as WRF, SWAN, WAVEWATCH III, ROMS, ECMWF products, reanalysis datasets or similar systems will be considered an advantage.
• Strong analytical and quantitative skills.
• Attention to detail and commitment to data quality.
• Strong problem-solving and logical-thinking skills.
• Excellent command of English, both written and spoken, is required. Working knowledge of French is considered an added advantage.