Postdoc: Remote Sensing Air Quality & Fire Impacts

Position Summary

The Rutgers Air Quality Lab led by Dr. Xiaomeng Jin within the Department of Environmental Sciences at Rutgers University invites applications for a Postdoctoral Research Associate to work on remote sensing of air quality.

The role will focus on using satellite observations to understand the impacts of wildfires and prescribed burning on air quality. The candidate must have a Ph.D. in a related field (Atmospheric Science, Remote Sensing, Earth Science, Environmental Science, Environmental Engineering) by the time of appointment. Background in atmospheric remote sensing is strongly preferred. Experience with atmospheric models (e.g., GEOS‑Chem, CMAQ) and skills in python, Fortran and high-performance computing are also desired.

This position will involve designing and executing remote sensing studies, analyzing satellite data, developing and validating atmospheric models, and collaborating with multidisciplinary teams to assess air quality impacts of fire events.

• Ph.D. in atmospheric science, environmental science, environmental chemistry, or related fields.
• Strong background in atmospheric remote sensing.
• Experience with atmospheric models such as GEOS‑Chem or CMAQ.
• Proficiency in Python, Fortran, and high-performance computing.
• Strong analytical, problem-solving, and communication skills.

• Medical, prescription drug, and dental coverage.
• Paid vacation, holidays, and various leave programs.
• Competitive retirement benefits, including defined contribution plans and voluntary tax‑deferred savings options.
• Employee and dependent educational benefits.
• Life insurance coverage.
• Employee discount programs.

Rutgers University may require proof of seasonal influenza vaccination for employees commencing during flu season, or a valid medical or religious exemption. Failure to provide proof or obtain an exemption may result in rescission of an offer or disciplinary action.

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we encourage all qualified applicants to apply.