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 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 a Senior Associate/Research Scientist within the Air Quality Observations team. The role is suited to early-career or aspiring scientists with expertise in atmospheric chemistry and air quality measurements, and a strong interest in translating research findings to inform air quality policy.

Responsibilities

• Design and conduct air pollution studies using reference- or research-grade gas monitors, aerosol characterisation equipment (including AMS/ACSM), and networks of lower-cost air sensors.
• Formulate research questions and undertake data analysis to address them.
• Develop data analysis tools and packages, as required, in collaboration with the AI/ML and Digital Applications teams.
• Develop proposals and draft technical reports and peer-reviewed manuscripts.
• Deliver lectures as part of capacity-building workshops for external stakeholders, including government officials and non-specialists.
• Present at national and international conferences, and participate in or organise workshops.
• Mentor junior researchers in data analysis and report writing.

Qualifications

PhD in Engineering or a related Science discipline, with doctoral research in air pollution, atmospheric chemistry, or a related field.

• Senior Associate: PhD with 0–3 years of postdoctoral experience.
• Research Scientist: PhD with a minimum of 6 years of postdoctoral experience.

Skill Set

• Demonstrated experience in operating, maintaining, and applying AMS/ACSM or similar advanced instruments, and/or deploying and managing large networks of low-cost sensors to characterise urban and regional air pollution.
• Familiarity with air quality management frameworks and practices will be an advantage.
• Experience in proposal development and leadership of field campaigns, including managing and mentoring research staff, will be an advantage.
• Proficiency in Python, R, or Igor Pro for data analysis and visualisation.
• Excellent written and verbal communication skills, evidenced by peer-reviewed publications in high-quality journals and presentations at international conferences.

Duration

2 years (fixed term; extendable based on performance and continued funding)