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 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)