Experience

6-8

Location

Bengaluru

Description 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 for data analysis and visualisation, shell scripting for running models, FORTRAN to debug model code.
- High-Performance Computing: Familiarity with Linux/Unix and running CTM simulations on HPC systems.
- Ability to handle large volume of datasets (NetCDF, HDF, GRIB, ASCII, geo-referenced data).
- Should have published peer-reviewed journal articles in international journals.
- Excellent written and verbal communication skills for presenting findings, writing reports/journal articles, and contributing to proposals.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Associate (Bengaluru)
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