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).

Responsibilities
Develop, configure, and optimise regional-scale chemical transport models
(e.g. WRF-Chem and WRF-CAMx) on HPCs.
Analyse and validate model outputs against ground-based and satellite




measurements.
Create data visualisations and effectively communicate findings to both
technical and non-technical audiences.
Generate recent ideas leading to project proposals and contribute to/lead
project reports/journal articles/Op-Eds, etc.
Participate in relevant conferences and workshops, as required.

Qualifications
PhD in a discipline related to air pollution, atmospheric chemistry,
meteorology, or equivalent.
Should have studied chemistry/atmospheric chemistry and meteorology as part
of the Master’s degree/PhD coursework.
Minimum two years of research experience in WRF-Chem, CAMx and/or any
chemical transport model during PhD.

Skills set
Experience with CTMs: Hands-on experience with WRF-Chem/WRF-CAMx, or
similar CTMs.
Data Analysis Skills: Ability to analyse model outputs and validate them
with measurement data using statistical methods
Programming Skills: Proficiency in Python

📌 Senior Associate Bengaluru
🏢 Air Quality Modelling
📍 Bengaluru