Job Description

Founded in 1863, Boston College is a Jesuit, Catholic university located six miles from downtown Boston with an enrollment of 9,484 full-time undergraduates and 5,250 graduate and professional students. Ranked 35 among national universities, Boston College has 888 full-time and 1,281 FTE faculty, 2,711 non-faculty employees, an operating budget of $1.4 billion, and an endowment in excess of $3.5 billion.

The Schiller Institute for Science & Society is seeking an experienced Research Scientist to develop and implement a data-driven platform that integrates models, remote sensing, machine learning, and in-situ data to support research initiatives in the Center for Earth System Science and Global Sustainability (CES3) and Global Carbon Project (GCP) Boston Office at Boston College. These initiatives include the GCP's global assessments of nitrous oxide, methane, and carbon budgets, Nitrogen/N2O Model Inter-comparison Project (NMIP), Land-Ocean-Aquatic Continuum (LOAC), Nature-based Solutions, Food-Energy-Water Nexus and Sustainable Food Systems.

The ideal candidate will demonstrate exceptional research capabilities by excelling in research performance, developing competitive grant proposals, and effectively managing projects to advance research initiatives. This position offers a unique opportunity for early-career scientists to collaborate with leading experts from the CES3 and GCP communities, advancing their careers in studying global carbon and nitrogen cycles; terrestrial ecosystems modeling and remote sensing; AI/Machine
Learning/Deep Learning for the Earth Systems and Sustainability, and conducting translational research that bridges fundamental science and climate solutions.

Key Responsibilities:

• Develop and implement a data-driven integrated platform to support various research initiatives.
• Advance research programs by developing competitive grant proposals.
• Manage ongoing projects and ensure timely tracking of progress.
• Coordinate collaborative efforts across internal and external partners, including GCP community, government bodies, and academic institutions.
• Publish research findings in peer-reviewed journals.

To apply for this position, please submit the following materials:

• A cover letter outlining your research and qualifications
• Your CV
• DOI links to two representative publications
• The names and contact information of three references

For additional information about the position, please contact Prof. Hanqin Tian, Inaugural CES3 Director at [email protected]..

This is a 3-year funded position with benefits. There is a possibility for support in future years based on research productivity and successful grantsmanship.

Salary Range: $75,000-$95,000; competitive salary commensurate with relevant experience.

Required Qualifications:

• Ph.D. in Earth System Science, Hydrology, Ecosystem Ecology, Remote Sensing and GIS, or a related field (within 8 years after completing the Ph.D.).
• Postdoctoral research experience in modeling and/or remote sensing of terrestrial ecosystems, Carbon and nitrogen cycles, Hydrological cycles and water quality.
• A track record of proposal development and project management.
• Excellent communication, leadership, and collaborative skills.

Desired Qualifications:

• Experience with the AI/Machine Learning application to earth/environmental systems.
• Familiarity with high-performance computing and large datasets.
• Strong understanding of climate policy frameworks and data communication tools.

Boston College offers a broad and competitive range of benefits depending on your job classification eligibility:

• Tuition remission for Employees
• Tuition remission for Spouses and Children who meet eligibility requirements
• Generous Medical, Dental, and Vision Insurance
• Low-Cost Life Insurance
• Eligibility for both University-Funded 401k and Employer-Sponsored 403b Retirement Plans
• Paid Holidays Annually
• Generous Sick and Vacation Pay
• Additional benefits can be found on

Boston College conducts pre-employment background checks as part of the hiring process.

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