About The Position

The Postdoctoral Associate will join an international team of scientists working as part of the global AGAGE network and a large community of atmospheric scientists at MIT. The general goals of AGAGE are to measure the abundances of non-CO 2 greenhouse and ozone-depleting gases in the atmosphere and to determine emissions, transport rates and mechanisms, loss rates and mechanisms, and ozone depletion and radiative forcing by these gases. The project will focus on building intelligent systems to analyse and interpret AGAGE observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu.

Requirements

  • Ph.D. in a relevant discipline
  • Proficiency in scientific programming
  • Demonstration of experience in quantitative research

Nice To Haves

  • Experience with machine learning methods for time-series analysis
  • Experience with anomaly and changepoint detection, or instrument diagnostics
  • Familiarity with optical, gas chromatography, mass spectrometer or additional atmospheric measurement instrumentation
  • An emerging strong track record of scientific output

Responsibilities

  • Measure the abundances of non-CO 2 greenhouse and ozone-depleting gases in the atmosphere.
  • Determine emissions, transport rates and mechanisms, loss rates and mechanisms, and ozone depletion and radiative forcing by these gases.
  • Build intelligent systems to analyze and interpret AGAGE observational data.
  • Extract diagnostic insights from instrument performance indicators using machine learning methods.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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