Machine Learning and Statistics at MSR New England

Machine Learning and Statistics at MSR New England

Projects

Overview

Machine learning and statistics research is at the core of Microsoft Research New England, an interdisciplinary lab of thirty full-time researchers and postdocs working in machine learning, statistics, computational biology, theoretical computer science, algorithmic game theory, economics, social media, cryptography, and mathematics.

Full-Time Researcher Positions

Call for Full-Time Researchers in Machine Learning and Statistics at Microsoft Research New England

Deadline for full consideration: January 3, 2018

Microsoft Research New England seeks outstanding and experienced applicants for full-time researcher positions in artificial intelligence, machine learning, statistics or related fields (such as computer vision, natural language processing, computational biology, etc.). We welcome applicants at all levels. 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. Our machine learning group includes Nicolo Fusi, Adam Kalai, Greg Lewis, Jennifer Listgarten, Lester Mackey, Vasilis Syrgkanis, and ML-minded managers Christian Borgs and Jennifer Chayes.

Preferred Qualifications:

  • PhD in computer science, statistics, mathematics, electrical engineering, or a related field
  • Significant research experience beyond the doctorate or post-doctorate level (although stellar junior candidates may also be considered)
  • A well-established research program demonstrated, for example, by journal and conference publications
  • Strong communication skills
  • The ability to work in a highly collaborative and interdisciplinary environment
  • Demonstrated leadership in research and in promoting diverse and inclusive groups

How To Apply

To apply, submit an online application on the Microsoft Research Careers website. 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 at least three referrers, as required by the online application, please also upload the following three attachments:
    • two conference or journal articles, book chapters, or equivalent writing samples that you are most proud of and which best demonstrate your expertise (uploaded as two separate attachments);
    • an academic research statement that outlines your research achievements and agenda, and your service and outreach activities and plans (e.g., those related to mentoring or diversity).
  2. Indicate that your research area of interest is “Machine Learning, Adaptation, and Intelligence” and that your location preference includes “New England.” Include “Adam Kalai” as the name of a Microsoft Research contact (you may include additional contacts as well).
  3. After you submit your application, a request for letters may be sent to your list of referrers on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance so they will be ready to submit your letter. You can check the progress on individual reference requests by clicking the status tab within your application page.

The machine learning group at Microsoft Research New England is committed to an inclusive and respectful environment in which everyone can perform their best. 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 to askstaff@microsoft.com.

Postdoctoral Positions

Microsoft Research New England seeks applicants for a postdoctoral research position in machine learning and statistics

Deadline for full consideration: December 1, 2017

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 machine learning, 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 machine learning, statistics, 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 machine learning, statistics, 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 any time after October 1, 2017. For full consideration, all materials, including reference letters, need to be received by December 1, 2017. In completing your application, please be sure to follow these instructions:

Include your CV and names of three-to-five referrers. In nearly all cases, one reference should be from your dissertation advisor; others may be from any other senior collaborator.

Upload the following attachments with your online application:

  • An academic research statement (approximately three-to-four pages) that outlines your research achievements and agenda.
  • Two conference or journal articles, book chapters, or equivalent writing samples (uploaded as two separate attachments).

Indicate that your location preference is “New England” and that your research area of interest is “Machine Learning, Statistics, and Artificial Intelligence.” If you do not mark these preferences, it is unlikely that we will receive your application.

After you submit your application, we will send a request for letters to your list of referrers. Note: The application system will not request reference letters until after you have submitted your application. Please alert your letter writers in advance so that they will be ready to submit your letter by our application deadline of December 1, 2017. You can check the progress on individual reference requests by clicking the status tab within your application page.

 

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