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)

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 Communication Officer to manage day-to-day communication efforts and translate complex research from the Energy and Power sector at CSTEP into clear, engaging, and impactful narratives. The role requires strong storytelling skills, a solid understanding of the policy ecosystem and think tank environment, and the ability to design and execute content and engagement strategies. Acting as a liaison between research and outreach teams (Communication and Policy Engagement), the candidate will ensure effective knowledge dissemination across platforms while contributing to institutional outputs and stakeholder engagement initiatives and events.

Responsibilities

• Develop and execute creative engagement strategies aligned with the organisation’s and sector’s goals.
• Translate and repurpose technical research into audience-specific content (blogs, social media, website copy, and outreach materials).
• Build, maintain, and actively manage a stakeholder database, and design targeted communication initiatives to drive effective engagement.
• Track policy developments, events, and emerging ecosystem conversations, and leverage these to inform communication and support research visibility.
• Monitor and analyse digital performance metrics using insights to refine and strengthen communication strategies.
• Collaborate closely with editors, designers, and researchers to ensure consistency in messaging, tone, and visual identity across all outputs.

Qualifications

• Postgraduate degree in Communications, Journalism, Public Policy, Environmental Studies, Climate Science, Urban Studies, or a related field
• Prior experience in journalism (preferably sustainability or solutions journalism), think tanks, policy organisations, or other knowledge-driven institutions

Skill Set

• Strong writing and storytelling skills with clarity, accuracy, and audience needs.
• Ability to manage multiple communication streams, coordinate across teams and functions, and operate effectively in a fast-paced research and public policy environment
• Comfortable working with scientific, environmental, and policy content.
• Ability to synthesise complex research, data, and policy insights into clear, accurate public-facing narratives, with strong attention to fact-checking.
• Experience in social media management, content optimisation (SEO), and digital publishing.
• Strong execution and organisational skills, including managing follow-ups, trackers, and workflow processes.
• A critical thinker with a proactive, learning-oriented mindset and the ability to collaborate effectively within teams.

We are seeking a candidate to support the Adaptation and Risk Analysis Group in the ongoing work on multi-hazard risk assessment, including floods, landslides, heatwaves, and droughts.

Responsibilities

• Assist in hazard modelling and risk assessment for floods, landslides, and extreme precipitation events.
• Perform geospatial analysis using GIS software (ArcGIS/QGIS) for hazard mapping and vulnerability assessment.
• Support the development of hazard susceptibility and risk maps using statistical or machine learning approaches.
• Assist in data pre-processing and visualisation using programming tools (Python/R).
• Compile and manage datasets from sources such as satellite observations and climate data.
• Contribute to technical reports, documentation, and presentations.
• Support the team in literature review and methodological development related to hazard and climate risk modelling.

Qualifications

• Pursuing a master’s degree in civil engineering, hydrology, water resources, environmental engineering, geoinformatics, climate science, data science, or a related field.
• Evidenced interest/internships working on similar projects (0-1 years’ experience). 

Skill Set

• Knowledge of modelling tools for hazard assessment or modelling.
• Experience with remote-sensing data processing.
• Familiarity with climate datasets (e.g. rainfall, temperature, and climate indices) and hazard drivers.
• Strong analytical, documentation, and communication skills.
• Strong organisational skills, with the ability to manage multiple tasks and work independently.
• Proficiency in Microsoft Office Suite and Google Workspace.
• Basic understanding of natural hazards and climate risk assessment.
• Familiarity with GIS software (ArcGIS/QGIS).
• Basic programming skills in Python or R.
• Experience handling geospatial and climate datasets will be an advantage.

Duration

3 months