Stanford GSE Fully Funded PhD in Educational Inequality and Global South Education
Stanford University
Assistant Professor Guilherme Lichand is recruiting one fully funded PhD student at Stanford Graduate School of Education for Fall 2027. The opportunity focuses on educational inequality, policy evaluation and interventions in the Global South using econometrics, experimental and quasi-experimental methods, and machine learning.
Assistant Professor Guilherme Lichand is recruiting one Ph.D. student to join his lab at Stanford University Graduate School of Education for Fall 2027.
His research measures educational inequalities and evaluates interventions that could help overturn them, especially in the Global South. Stanford lists his interests across economics of education, education policy, educational inequality, quantitative methods, artificial intelligence and global and comparative education.
Strong candidates will have a quantitative profile, substantial training in econometrics - including experimental and quasi-experimental methods - machine-learning preparation, and prior education-research experience. Portuguese or Spanish ability and experience working with administrative records from K-12 students in Latin America are additional advantages.
Professor Lichand is affiliated with Stanford GSE's SHIPS Ph.D. programme and its Global and Comparative Education area. Applicants should review the formal programme and identify the doctoral area that best matches their preparation and intended research.
Funding: Stanford GSE automatically provides all admitted Ph.D. students, including international students, a five-year funding package subject to satisfactory academic progress. The package combines tuition aid, fellowship stipend and assistantship salary and is designed to cover Stanford's standard cost of attendance for a modest graduate-student budget.
How to apply: first email your CV to Professor Lichand at glichand@stanford.edu to introduce your background and research fit. You must also submit Stanford GSE's formal Ph.D. application by November 16, 2026 at 11:59 p.m. Pacific Time. Contacting the professor does not replace the official application, and final admission decisions are made through Stanford's admissions process.
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Recorded source check: August 22, 2026. A stored check date does not guarantee that every field is complete or still current. Compare the provider, eligibility, funding and deadline with the live official call before applying.
Benefits
- One doctoral supervision opportunity with Assistant Professor Guilherme Lichand.
- Automatic five-year Stanford GSE funding package for admitted Ph.D. students, subject to satisfactory academic progress.
- Tuition aid, fellowship stipend and assistantship salary designed to cover the standard cost of attendance.
- Research training in econometrics, causal inference, machine learning, education policy and educational inequality.
- Research engagement focused on the Global South and potential applications to Latin American K-12 education.
- Affiliation with Stanford Graduate School of Education and its SHIPS and Global and Comparative Education community.
Eligibility summary
- Prospective Stanford GSE Ph.D. applicants for Fall 2027.
- Strong quantitative academic and research profile.
- Background in econometrics, experimental design, quasi-experimental methods and machine learning.
- Prior experience conducting education research.
- Research fit with educational inequality, economics of education, policy evaluation, education in the Global South or related questions.
- Portuguese or Spanish and experience with K-12 administrative records from Latin America are desirable but not stated as mandatory.
- No nationality restriction is stated; Stanford GSE confirms that admitted international Ph.D. students receive the same five-year funding package.
- Applicants must satisfy Stanford Graduate Admissions and the selected GSE doctoral programme requirements.
Requirements
- Email a CV to Professor Lichand for preliminary research-fit consideration.
- Submit Stanford's online graduate application by November 16, 2026 at 11:59 p.m. Pacific Time.
- Demonstrate strong quantitative preparation and econometrics training.
- Show preparation in experimental and quasi-experimental methods and machine learning.
- Provide evidence of prior education-research experience.
- Complete the supplemental empirical-research, quantitative and programming questions required by the selected doctoral subplan.
- The GRE is optional for 2027-2028 admission and not submitting it does not disadvantage the application.
- Provide TOEFL or IELTS evidence if Stanford's English-proficiency exemption criteria are not met.
Documents required
- CV for the preliminary email to Professor Lichand.
- Online graduate application.
- One- to two-page statement of purpose.
- Resume or curriculum vitae.
- Three online letters of recommendation.
- Transcripts from every college or university attended for at least one full-time academic year.
- Selected doctoral-subplan supplemental responses and any writing sample required by that subplan.
- TOEFL or IELTS score when required; GRE score is optional.
Language/test requirements
How to submit applications
Provider: Stanford Graduate School of Education
Faculty: https://ed.stanford.edu/faculty/glichand Application requirements: https://ed.stanford.edu/admissions/application-reqs/programs Funding: https://ed.stanford.edu/admissions/financing/doctoral
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