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)

We are looking for an AI Consultant to help CSTEP leverage artificial intelligence to strengthen its research, innovation, and impact across clean energy transition, clean air, and climate action and resilience. The role will work closely with leadership and research teams to identify opportunities for AI-enabled capabilities, develop strategies for applying AI to CSTEP’s work, and explore new ways of engaging with stakeholders. The Consultant will also help prioritise and guide the implementation of AI initiatives, including adoption, integration, and change management, to deliver measurable value and strengthen CSTEP’s position at the intersection of research, technology, and public policy.

Responsibilities

• Build leadership awareness of how artificial intelligence can create new capabilities and optimise existing ones across the organisation.
• Help teams identify new possibilities for engagement models, value propositions, and ways of working enabled by AI.
• Work with each sector and group to develop AI transformation strategies aligned with their research and organisational priorities.
• Identify and develop AI use cases with the potential to deliver measurable value and impact.
• Develop an implementation roadmap and guide the execution of plans for AI development, integration, adoption, and change management. 

Qualifications

Master's degree with a good track record (10+ years) in transformation and innovation with digital technologies, particularly artificial intelligence

Skill Set

• Strategic business acumen and a strong understanding of how AI can drive organisational transformation.
• Strong data and AI literacy, with an understanding of their foundational role in transformation.
• Excellent communication and stakeholder management skills.
• Strong interpersonal skills, with the ability to navigate challenges and influence outcomes.
• Strong problem-solving, creative thinking, and organisational change management skills.
• Awareness of clean energy, air quality, and climate technology domains, and AI-enabled use cases in these areas.
• Understanding of Responsible AI principles and their application to deliver tangible value and benefits.

Duration

11 months