We are seeking a creative and experienced video editor to join our Communication and Policy Engagement (CPE) team. This full-time role combines video production with on-camera communication, aimed at bringing CSTEP’s research stories to life for diverse audiences.

Responsibilities

• Conceptualise, storyboard, and produce high-quality video content for social media, campaigns, and documentaries.
• Be open to serving as an on/off-camera presenter/host for CSTEP videos, interviews, and explainer series.
• Edit short films, research explainers, and event highlights in line with CSTEP’s brand voice.
• Collaborate with researchers and communication specialists to translate complex research into engaging visual stories.
• Manage end-to-end video production, from storyboarding and filming to post-production and publishing.
• Capture behind-the-scenes footage, field visuals, and expert interviews.
• Explore AI-based video and motion design tools to enhance storytelling.
• Experiment with innovative video formats to make research accessible and relatable to the public.
• Adapt long-form content (like webinars or panel discussions) into short, social-ready clips.
• Support live-streaming or virtual event production when required.
• Ensure visual consistency across all video outputs
• Support photography requirements when needed.

Qualifications

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

Skill Set

• Proficiency in professional video editing and postproduction software, such as Adobe Premiere Pro, After Effects, and Audition.
• Working knowledge of motion graphics or animation tools (e.g. Illustrator, After Effects templates, Canva Pro, or Blender basics).
• Comfortable with handling a camera, lighting, and other on-field shooting equipment.
• Strong grasp of design principles, visual rhythm, colour grading, pacing, and narrative structure.
• Basic understanding of copyright, licensing, and content rights in digital media.
• Ability to research, write scripts, and convert research insights into a storyboard with mass appeal.
• Ability to lend voice-overs will be a plus.
• Familiarity with social media formats and trends (Instagram, LinkedIn, YouTube, etc.).
• Interest in AI-assisted editing tools such as Runway or Pika Labs.
• Collaborative attitude and willingness to learn across disciplines.

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 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.