Postdoc: Aerosol Chemistry & Field Campaign Lead

University of Minnesota

Saint Paul (MN)

On-site

USD 62,000 - 70,000

Full time

14 days+

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Job summary

The Kenagy Lab, Department of Chemistry at the University of Minnesota, seeks a Postdoctoral Researcher to join a field campaign focusing on particle formation chemistry in agricultural regions. You will lead aerosol instrumentation deployment, data processing, and dissemination, with a January 2027 start and a schedule including field deployments and regular weeks in the lab.

Qualifications include a PhD in chemistry or related field, hands-on instrument calibration experience, data analysis

Qualifications

  • PhD in chemistry, atmospheric science, environmental science, engineering, or closely related field.
  • Hands-on experience with instrument calibration and operation.
  • Data analysis experience.
  • Proficiency in statistical data analysis and coding (e.g., Python, R).
  • Strong organizational skills with experience in laboratory operations.
  • Effective written and verbal communication skills.
  • Familiarity with standard laboratory safety practices.

Responsibilities

  • Lead the operation of aerosol instrumentation during field deployments (ACSM, SMPS).
  • Collaborate with graduate students and collaborators on CI-ToF-MS data collection and analysis.
  • Lead data processing and analysis for ACSM/SMPS and assist CI-ToF-MS data analysis.
  • Mentor a graduate student in deployments.

Education

PhD in chemistry or closely related field

Tools

ACSM
SMPS
CI-ToF-MS

Job description

The Kenagy Lab, Department of Chemistry at the University of Minnesota, seeks a Postdoctoral Researcher to join a field campaign focusing on particle formation chemistry in agricultural regions. You will lead aerosol instrumentation deployment, data processing, and dissemination, with a January 2027 start and a schedule including field deployments and regular weeks in the lab.

Qualifications include a PhD in chemistry or related field, hands-on instrument calibration experience, data analysis

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