We are seeking a creative and confident 2D animator to join our Communication and Policy Engagement (CPE) team. This full-time role is focused on translating research, policy insights, and sectoral work into clear, engaging 2D animated visual stories for diverse audiences. The role demands strong fundamentals of animation, discipline in following research-based content, and the ability to simplify complex ideas without distorting facts.

Responsibilities

• Conceptualise, storyboard, and produce high-quality 2D animated videos for social media, campaigns, reports, and documentaries.
• Create explainer animations, infographics, and motion graphics aligned with research content and policy narratives.
• Translate complex research and data into clear, visually engaging animated stories.
• Develop short-format animated content optimised for social and digital platforms.
• Collaborate closely with researchers, writers, and communication specialists to ensure accuracy and clarity in visual storytelling.
• Manage the animation workflow from storyboarding to final animation delivery.
• Adapt long-form content (reports, webinars, and presentations) into short, animation-led outputs.
• Maintain visual consistency with CSTEP’s brand guidelines across all animated content.
• Experiment with AI-assisted animation and motion design tools to improve efficiency and storytelling quality.
• Support basic visual design or static graphic requirements when needed.

Qualifications

Bachelor’s degree (or higher) in Animation, Design, Media Studies, Communication, Fine Arts, or a related field.

Skill Set

• Strong fundamentals in 2D animation principles (timing, easing, motion flow, and visual hierarchy).
• Proficiency in Adobe After Effects (mandatory).
• Working knowledge of Adobe Illustrator and Photoshop for asset creation and preparation.
• Experience in motion graphics, animated infographics, and explainer-style animations.
• Good sense of composition, colour, pacing, and visual storytelling.
• Ability to storyboard and visualise scripts or research inputs effectively.
• Familiarity with social media animation formats (Instagram, LinkedIn, YouTube, etc.).
• Interest or experience in AI-based animation or motion tools (e.g. Runway and Pika Labs) is a plus.
• Strong attention to detail and ability to follow structured briefs without deviation.
• Collaborative mindset and ability to take feedback constructively.

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)