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Massachusetts Institute of Technology Postdoctoral Associate in Cambridge, Massachusetts

Postdoctoral Associate

  • Job Number: 23663

  • Functional Area: Research - Engineering

  • Department: Civil and Environmental Engineering

  • School Area: Engineering

  • Employment Type: Full-Time

  • Employment Category: Exempt

  • Visa Sponsorship Available: Yes

  • Schedule:

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    Job Description

POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, to conduct groundbreaking research in nature-based carbon sequestration solutions. Will explore and enhance soil organic carbon stocks through sustainable agricultural practices. This includes detailed study and development of a more reliable Monitoring, Reporting, and Verification (MRV) protocol. The research is aimed at providing substantial contributions to the understanding of carbon dynamics in agricultural systems, with a focus on improving overall soil health, reducing GHG emissions, increasing carbon capture, and accurately measuring the carbon footprint of agriculture. Will collaborate with the MIT team and external partners, including industry leaders, to enrich case studies and enhance the project's relevance and impact in the field. The position offers the opportunity to contribute to peer-reviewed publications, present findings at scientific conferences, and mentor graduate and undergraduate students.

Job Requirements

REQUIRED: Ph.D. in environmental science, agronomy, ecology, or a closely related field; background in soil science, carbon dynamics, carbon markets, and sustainable agricultural practices; proven experience conducting original scientific research and publishing in scientific journals; and ability to effectively communicate complex scientific concepts and work collaboratively in a dynamic, interdisciplinary team environment that includes collaboration with staff and students from MIT and other universities and industry partners. PREFERRED: experience with machine learning techniques, remote sensing, and soil carbon measurement methodologies; proficiency with programming languages such as Python or R; and a demonstrated interest in applying scientific research to practical solutions. Job #236631/29/24