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 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 new 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.

We are seeking candidates with expertise in air pollution to generate evidence-based insights that can inform and drive mitigation efforts. The role calls for proficiency in statistical techniques and mathematical modelling, coupled with a strong understanding of core air pollution concepts. Candidates should demonstrate the ability to analyse and visualise data effectively, drawing actionable conclusions that can support policy and practice. A thorough grounding in bottom-up emission inventory development is essential, along with familiarity with the National Clean Air Programme (NCAP) and working knowledge of monitoring–evaluation–learning frameworks. The role also entails conducting comprehensive reviews of academic literature and best practices to deliver high-quality research outputs, with a focus on air quality indicators, implementation strategies, and their evaluation.

Responsibilites

• Collect and analyse diverse datasets to generate insights on air pollution.
• Develop and maintain bottom-up emission inventories.
• Contribute to multi-disciplinary projects through documentation, proposal writing, report preparation, project development, and drafting of technical reports and other knowledge outputs
• Conduct policy gap analyses and identify drivers of policy change through literature review and stakeholder engagement.
• Collaborate with CSTEP’s Air Quality Observations and Modelling teams to develop air quality indicators tailored to the Indian context.
• Participate in conferences, workshops, and training programmes to strengthen expertise on air pollution risks.

Qualifications

Master’s degree in a discipline related to air pollution, atmospheric chemistry, general science, environmental science, environmental economics, engineering and public policy, or similar disciplines from a recognised university

Skill Set

• Strong knowledge of NCAP, city action plans, XV Finance Commission reporting, and broader aspects of air quality management and policy in India.
• Familiarity with mitigation technologies and demonstrated experience in cost analysis.
• Expertise in financial modelling and techno-economic assessment will be an added advantage.
• Proficiency in data analysis tools and programming languages, such as GIS, Python, R, or similar.
• Experience working with Microsoft Office applications (Word, PowerPoint, Excel).
• Excellent communication skills in English (written and oral); proficiency in Kannada, Punjabi, or another regional language will be an asset.

Duration

6-12 months