The Harvard CGA Postdoctoral Fellowship 2026 in USA is a fully funded research position at the Center for Geographic Analysis (CGA) within Harvard University’s Institute for Quantitative Social Science. This fellowship supports outstanding spatial researchers to develop independent research, contribute to CGA’s training workshops, and collaborate on cutting-edge geographic data science projects. Fellows receive a competitive salary of $70,000-$80,000 per year plus benefits.
The Center for Geographic Analysis (CGA) was established in 2006 to foster cross-disciplinary spatial research and teaching across Harvard University. It provides state-of-the-art methods, data, and software, and supports a diverse range of research projects involving spatial data and applications. CGA is part of the Institute for Quantitative Social Science (IQSS), which promotes a culture of respect, fairness, and collegiality.
Harvard CGA Postdoctoral Fellowship Benefits
- Full-time, benefits-eligible position
- Salary range $70,000-$80,000 per year
- One-year appointment with possibility of renewal based on satisfactory performance and continued availability of funding
- Opportunity to contribute to undergraduate and graduate teaching
- Access to state-of-the-art methods, data, and software at CGA
Harvard CGA Postdoctoral Fellowship Eligibility Criteria
- Demonstrated experience working with spatial analytic methods to answer substantive spatial social science questions
- PhD in geography, GIScience, or a related social science
- If PhD obtained in the past 12 months, must provide certificate of completion or letter from registrar confirming degree conferral date
How to Apply for Harvard CGA Postdoctoral Fellowship?
- Submit a Curriculum Vitae
- Submit a Cover Letter
- Submit a Research Statement
- Provide contact information (name, email, phone) for three references (at least two at faculty rank)
- Optional: submit a sample paper
- Complete applications must be received by Monday, July 6, 2026
Frequently Asked Questions (FAQs)
Here are the most frequently asked questions about the Harvard CGA Postdoctoral Fellowship. These answers cover eligibility, benefits, deadlines, and how to apply.
What is the Harvard CGA Postdoctoral Fellowship?
It is a fully funded postdoctoral research position at Harvard’s Center for Geographic Analysis (CGA) within the Institute for Quantitative Social Science. Fellows conduct independent research, support CGA’s training workshops, and collaborate on spatial data science projects.
What is the salary for this fellowship?
The salary range is $70,000 to $80,000 per year. The position is full-time and benefits-eligible.
What is the duration of the fellowship?
The appointment is for one year with the possibility of renewal based on satisfactory performance and continued availability of funding.
What are the basic qualifications?
Applicants must have demonstrated experience with spatial analytic methods and a PhD in geography, GIScience, or a related social science. Recent PhD graduates must provide proof of degree completion.
What documents are required for application?
Required documents: Curriculum Vitae, Cover Letter, and Statement of Research. Optional: a sample paper. Also provide contact information for three references.
When is the application deadline?
Complete applications must be received by Monday, July 6, 2026. Late submissions will not be considered.
When will the fellowship start?
The anticipated start date is Fall 2026.
What are the main responsibilities of the fellow?
The fellow will develop and offer GIS training workshops (30%), contribute to research support and collaboration (30%), develop independent research (30%), and engage in networking and community-building (10%).
Is teaching experience required?
Experience developing and teaching spatial methods, especially desktop GIS, R, and Python, is strongly preferred but not required.
How do I apply?
Submit your application through the Harvard Academic Positions portal. Ensure all required documents are uploaded and references are listed before the deadline.
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