Microsoft Research New England seeks outstanding applicants for a postdoctoral researcher in the area of statistics or a related field.   DEADLINE FOR FULL CONSIDERATION: November 28, 2016.   Application instructions are at the end of this email.   More information about postdoc and researcher positions can also be found at www.microsoft.com/en-us/research/careers;   Microsoft Research offers an exhilarating and thriving environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publication policy, and close links to top academic institutions around the world.   We seek applicants from all areas of statistics and related fields with a passion and demonstrated ability for independent research, including a strong publication record at top research venues.   Postdoc positions at Microsoft Research provide emerging scholars an opportunity to develop their research careers as members of a very active statistics, machine learning, and artificial intelligence community at a world-class research organization.   Postdocs in our lab are encouraged to define their own research agenda and to demonstrate their ability to drive forward an effective program of research.
Microsoft Research New England is comprised of thirty full-time researchers and postdocs working in statistics, machine learning, computational biology, theoretical computer science, algorithmic game theory, economics, social media, cryptography, and mathematics.   The lab is highly collaborative and interdisciplinary and is actively engaged with the local academic and tech communities.   Postdocs receive a competitive salary and benefits package and are eligible for relocation expenses.   Postdocs are typically hired for a two-year term appointment following the academic calendar.   Prior to joining Microsoft Research, postdocs must have completed the requirements for a PhD, including final submission of their dissertation.
Applicants with tenure-track offers from other institutions will be considered, provided they are able to defer their start date to accept our position.   Microsoft is an equal opportunity employer and supports workforce diversity.   Women and minorities are encouraged to apply.   HOW TO APPLY To apply, submit an online application on the Microsoft Research Careers website at https://careers.research.microsoft.com.
To be assured of full consideration, all materials, including reference letters, need to be received by November 28, 2016.   Applications received after that date may or may not be considered.   In completing your application, please be sure to follow these additional instructions: 1. In addition to submitting your CV and the names of three referees (including your dissertation advisor) as required by the online application, please also upload the following three attachments: a. two conference or journal articles, book chapters, or equivalent writing samples (uploaded as two separate attachments); b. an academic research statement that outlines your research achievements and agenda. 2. Indicate that your location preference is New England and that your research area of interest is Machine Learning, Statistics, and Artificial Intelligence.
NOTE: IF YOU DO NOT MARK THESE PREFERENCES, IT IS VERY UNLIKELY THAT WE WILL RECEIVE YOUR APPLICATION.   After you submit your application, a request for letters will be sent to your list of referees on your behalf.   Note: The application system will not request reference letters until after you have submitted your application.   You may wish to alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of November 28, 2016.   You can check the progress on individual reference requests by clicking the status tab within your application page.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.