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POSTDOCTORAL RESEARCH SCIENTIST – AIR QUALITY FORECASTS
Job Responsibilities:
Research & Knowledge – 100%
- Evaluate forecast performance using different monitoring data inputs and characterize the implications of data quality on forecast tool performance
- Optimize the tool’s algorithm to adjust for common data quality issues
- Develop a user manual for the forecast tool
- Work with project partners such as AfriqAir and Airqo to process air quality data from Low-Cost Sensors (LCS), and check for data completeness, quality and develop a LCS data integration protocol into the forecast workflow
- Write up guidelines and performance attributes for the use of LCS as inputs into the forecast
- Work closely with city and subnational air quality managers on input data quality and the usability of the tool
- Evaluating the performance of the air quality forecast tool, propose and carryout corrections and adjustments where necessary
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Job Qualifications:
- Ph.D. in atmospheric science, geography, computing, engineering, or related field
- Minimum of 6 years of professional full-time work experience
- Experience working with satellite datasets such as AOD, FRP, CO, NOX, and O3 from platforms and instruments such as AQUA, TERRA, VIIRS, GOES, CALIPSO, CATS, MODIS, TES, MISR and MOPITT
- Experience processing emission inventory data for air quality models
- Experience evaluating atmospheric and air quality modeling systems
- Experience with manipulating and analyzing large spatial datasets
- High-level R and/or Python programming skills
- Comfort in working in UNIX/LINUX environment
- Data and workflow management skills
- Strong writing and presentation skills, including a track record of peer-reviewed publications and scientific conference presentations
How to Apply:
Please submit a resume with cover letter. Resume and cover letter must be submitted in English to be considered. Applicants must apply through the WRI Careers portal to be considered. Please submit a resume with cover letter, by 4th Feb, 2022