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 solid 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)