Senior Associate - Air Quality Modelling

• Develop, configure, and optimise regional-scale chemical transport models (e.g. WRF-Chem and WRF-CAMx) on High-Performance Computing platforms.
• Analyse and validate model outputs against ground-based and satellite measurements, creating data visualisations and effectively communicating findings.
• Generate new ideas leading to project proposals and contribute to/lead project reports, journal articles, and Op-Eds.
• Participate in relevant conferences and workshops as required.

This role contributes to CSTEP's mission of enhancing policymaking through science and technology for a sustainable, secure, and inclusive society, specifically addressing clean air challenges through advanced air quality modelling.

• PhD in a discipline related to air pollution, atmospheric chemistry, meteorology, or equivalent, with chemistry/atmospheric chemistry and meteorology studied as part of Master's/PhD coursework.
• Minimum two years of research experience in WRF-Chem, CAMx and/or any chemical transport model during PhD.
• Hands-on experience with WRF-Chem/WRF-CAMx or similar chemical transport models, and ability to analyse model outputs using statistical methods.
• Proficiency in Python for data analysis and visualisation, shell scripting for running models, and FORTRAN to debug model code, with familiarity with Linux/Unix and HPC systems.

No specific benefits, compensation, or salary information mentioned in the posting.