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CSTEP is seeking a Senior Associate to advance weather/chemistry transport modelling using WRF-Chem/WRF-CAMx on HPC platforms. The role includes model inter-comparison, validation with satellite and ground data, and preparing inputs for reduced-complexity models.
Ideal candidates hold a PhD in atmospheric science or related field, with 2+ years of WRF-Chem/CAMx research and strong Python/Fortran programming skills. Exposure to satellite datasets (MODIS/TROPOMI) is essential.
For this post, we are seeking candidates with expertise in weather/chemistry transport modelling, and satellite data analysis and visualisation. The applicant must have experience working with the Weather Research and Forecasting model with Chemistry (WRF-Chem) and/or the Comprehensive Air Quality Model with Extensions (CAMx) on High-Performance Computing (HPC) platforms. She/he should also have experience working with satellite datasets (e.g. MODIS and TROPOMI) and should be proficient in high-level programming languages for data processing.
The Senior Associate will work on WRF-CAMx and/or WRF-Chem or equivalent modelling systems to perform model inter-comparison and validation using satellite/ground-based measurements, make adjustments to the model setup to improve model performance, and assist in preparing model inputs for use in reduced-complexity model(s).
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CSTEP, one of India's top think tanks, enhances policymaking through science and technology for a sustainable, secure, and inclusive society. Grants and donations made to the organisation are eligible for exemptions u/s 80G of the Income Tax Act, 1961. CSTEP is also registered under the Foreign Contribution (Regulation) Act, 2010.