Postdoc: Indoor Air Quality & Exposure Modeling

University of Cambridge; Cambridge; On-site; GBP 38,000 - 45,000; Full time

Job summary

The Yusuf Hamied Department of Chemistry at the University of Cambridge invites applications for a post-doctoral research associate to work on indoor air quality in homes under the INQUIRE project. The role focuses on modelling exposure and supporting cross-institution collaboration across Europe and Australia.

We seek a PhD (or near completion) with strong quantitative skills and experience in R/Python/MATLAB, who can travel within Europe for consortium meetings and contribute to scientific

Qualifications

• PhD (or near completion) in environmental science, exposure science, aerosol/atmospheric science, epidemiology, biostatistics, or related field.
• Strong quantitative skills and experience with large environmental or biomonitoring datasets.
• Proficiency in R, Python or MATLAB.
• Excellent written and verbal communication within a multinational consortium.
• Willingness to travel within Europe for consortium meetings.

Responsibilities

• Lead UCAM's contribution to Task 5.2 modelling respiratory deposition and exposure estimates.
• Apply lung deposition modelling to translate data into internal dose estimates.
• Link IAQ and biomonitoring data to health outcomes and exposure determinants.
• Collaborate with WP1–WP3 partners for data integration.
• Prepare data for deposition in FAIR repositories and co-author publications.
• Present results at consortium meetings and conferences.
• Supervise associated students/research assistants.

Skills

Quantitative skills

R/Python/MATLAB

Excellent communication

Multidisciplinary teamwork

Education

PhD (or near completion) in environmental science or related field

Tools

R

Python

MATLAB

Job description

The Yusuf Hamied Department of Chemistry at the University of Cambridge invites applications for a post-doctoral research associate to work on indoor air quality in homes under the INQUIRE project. The role focuses on modelling exposure and supporting cross-institution collaboration across Europe and Australia.

We seek a PhD (or near completion) with strong quantitative skills and experience in R/Python/MATLAB, who can travel within Europe for consortium meetings and contribute to scientific