Postdoctoral Associate at Massachusetts Institute of Technology

Join MIT's Center for Sustainability Science & Strategy to develop AI tools for atmospheric greenhouse‑gas data.

Best for:Best for postdoctoral researchers with strong scientific programming skills and quantitative research experience, especially in machine learning for atmospheric data.

Massachusetts Institute of Technology · Cambridge, United States of America · R2 · Recognised researcher

More professors at Massachusetts Institute of Technology

greenhouse gas measurementsnon‑CO2 greenhouse gasesmachine learning for atmospheric datatime‑series analysisinstrument diagnosticsAGAGE network

This is a postdoc position — not a PhD studentship.

Deadline

Until filled

rolling

Funding

Salaried

one-year initial appointment with possible extension

Start date

flexible

Full-time

Location

Cambridge

United States of America

Overview

The Center for Sustainability Science & Strategy at MIT is seeking a postdoctoral associate to work with the global AGAGE network. The researcher will build intelligent systems that analyse and interpret observational data of non‑CO2 greenhouse and ozone‑depleting gases. Work will involve applying machine‑learning techniques to time‑series data, instrument performance indicators and anomaly detection. The successful candidate is expected to contribute to scientific publications and collaborate with an international team of atmospheric scientists.

postdoctoralMITmachine learningatmospheric chemistryAGAGEgreenhouse gasesdata analysisscientific programming

What you'll do

Develop and implement machine‑learning pipelines to analyse AGAGE observational datasets.
Extract diagnostic insights from instrument performance indicators using anomaly‑detection techniques.
Collaborate with the international AGAGE team to interpret results and assess emissions, transport, and radiative forcing.
Prepare scientific manuscripts and present findings at conferences and internal meetings.
Maintain and improve code bases for reproducible data processing and modelling.

Requirements

Degree required: PhD in a relevant discipline (e.g., atmospheric science, physics, chemistry, or related field)

Language: English (fluent)

Instruction: English

Publications: Evidence of a strong scientific publication record

Required skills

Proficiency in scientific programming (Python, MATLAB, or similar)
Demonstrated experience in quantitative research
Strong background in data analysis of atmospheric measurements

Nice to have

Experience with machine‑learning methods for time‑series analysisExperience with anomaly and changepoint detection or instrument diagnosticsFamiliarity with optical, gas‑chromatography, or mass‑spectrometer instrumentationEmerging strong track record of scientific publications

Eligibility

Open to candidates of any nationality

Funding & terms

Type

Salaried

Amount

—

Duration

one-year initial appointment with possible extension

Programme

Massachusetts Institute of Technology

How to apply

Deadline: Open until the position is filled · open until filled

Submit your application through MIT's online career portal. Include a curriculum vitae, a cover letter describing your research interests, and contact information for references. The hiring committee will review all submissions and contact shortlisted candidates for interviews.

Documents required