Microsoft Research in New York City seeks outstanding postdoc applicants in the areas of machine learning, artificial intelligence, and related fields.
Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, 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, including a strong publication record at top research venues. The earliest start date is July 1, 2021.
APPLICATION DEADLINE FOR FULL CONSIDERATION: November 29, 2020.
The typical length of a postdoc here is two years, following the academic calendar. A one-year postdoc is also possible, if you have (or will have) a tenure-track offer and are able to defer it for at least one year to accept our position.
The Microsoft Research machine learning group in New York includes Hal Daumé III, Miroslav Dudík, Sham Kakade, Akshay Krishnamurthy, John Langford, Dipendra Misra, Ida Momennejad, Robert Schapire, Alex Slivkins, Jenn Wortman Vaughan, Hanna Wallach, and Cyril Zhang. We collaborate extensively with the other groups at MSR NYC (fairness/accountability/transparency/ethics in AI, economics and computation, computational social science, and computer systems) and with groups across Microsoft Research.
To be assured of full consideration, all application materials, including reference letters, need to be received by November 29, 2020. Applications received after that date may or may not be considered.
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.
Responsibilities: As a postdoc, you define your research agenda in collaboration with other researchers, driving forward an effective program of basic, fundamental, and applied research. We highly value collaboration and building new ideas with members of the group and others. You have the direct opportunity to realize your ideas in products and services used worldwide.
- PhD in computer science, electrical engineering, statistics, mathematics, or a related field; all PhD requirements, including final thesis submission, must be completed prior to joining the lab.
- Research ability demonstrated by peer-reviewed conference or journal publications.
- Research agenda that overlaps with the ML group.
- Participation and activity in the scientific community.
- Strong communication skills.
- The ability to work in a highly collaborative and interdisciplinary environment.