Microsoft Corporation Research Intern - Computational Social Science at Microsoft Research NYC in New York, New York

Empower every person and organization on the planet to achieve more. That’s what inspires us, drives our work, and pushes us to challenge the status quo every day. At Microsoft, we also work to empower our employees, so they can achieve more. We believe we should each find meaning in our work and we ensure employees have the freedom and the reach to help make a difference in the world.

Microsoft Research provides a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers. Our researchers and engineers pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

The Computational Social Science group at Microsoft Research NYC is actively seeking summer interns to join us in advancing the state-of-the-art in computational social science and online experimentation. The ideal applicant will possess awareness of the theoretical and experimental social science literature, experience with experimental design, as well as significant computer programming expertise.

Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research with access to an extraordinary diversity of big and small data sources, ample budget for online experimentation, an open publications policy, and close links to top academic institutions around the world. We seek applicants with the passion and ability to craft and pursue an independent research program.

Intern mentors in the Computational Social Science group at in New York include the following researchers: Dan Goldstein at , Shawndra Hill at , Jake Hofman at , David Rothschild at , Hanna Wallach at and Duncan Watts at . We collaborate extensively with the other groups at MSR NYC ( fairness/accountability/transparency/ethics in AI at , computational economics at , machine learning at , and computer systems at ) and with groups across Microsoft Research.

We are committed to building an inclusive, diverse and pluralistic research environment, and strongly encourage applications from women, minorities, individuals with disabilities, veterans, as well as students with non-traditional backgrounds.


Students are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the research lab during their 12 week internship.


Required Qualifications

  • Must be currently enrolled in a PhD program in computer science, statistics, mathematics, or a related social science field.

  • Completion of upper level (undergraduate) and/or graduate level coursework involving computer programming

Preferred Qualifications

  • Strong communication skills

  • The ability to work in a highly collaborative and interdisciplinary environment

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form at .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

The New York State Department of Labor is an Equal Opportunity Employer/Program. Auxiliary aids and services are available upon request to individuals with disabilities.