Postdoctoral Associate, MIT/CS3/AGAGE

Postdoctoral researcher developing AI tools to analyse atmospheric greenhouse‑gas observations within MIT's Center for Sustainability Science & Strategy.

Best for:Early‑career researchers with strong scientific programming skills and a keen interest in applying machine learning to atmospheric chemistry data.

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

More professors at Massachusetts Institute of Technology

greenhouse gas measurementsnon‑CO2 atmospheric gasesmachine learning for atmospheric datatime‑series anomaly detectioninstrument 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, MA

United States of America

Overview

The MIT Center for Sustainability Science & Strategy (CS3) is seeking a postdoctoral associate to join its international AGAGE team. The role focuses on building intelligent systems that analyse and interpret observational data of non‑CO2 greenhouse and ozone‑depleting gases. The successful candidate will apply machine‑learning techniques to extract diagnostic insights from instrument performance indicators and contribute to scientific publications. Collaboration with a global network of atmospheric scientists and the broader MIT research community is expected. The appointment is initially for one year with the possibility of extension based on performance.

postdoctoralmachine learningatmospheric chemistryclimatedata analysisAGAGEMITsustainability

What you'll do

Develop and implement machine‑learning pipelines to analyse AGAGE observational datasets.
Design algorithms for time‑series anomaly and changepoint detection in greenhouse‑gas records.
Extract diagnostic information from instrument performance indicators and support instrument diagnostics.
Collaborate with the international AGAGE network and MIT researchers to integrate scientific findings.
Prepare and submit research manuscripts to peer‑reviewed journals.
Present results at conferences and internal seminars.

Requirements

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

Language: English (fluent)

Instruction: English

Required skills

Proficiency in scientific programming (e.g., Python, MATLAB, or R)
Demonstrated experience in quantitative research and data analysis

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 output

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 the MIT Careers portal using the link provided. Upload a current CV, a cover letter describing your research interests, a brief research statement, and a list of publications. Provide three reference letters as requested in the online system. The selection committee will review applications on a rolling basis.

Documents required