{"id":6789,"date":"2018-10-29T11:01:28","date_gmt":"2018-10-29T15:01:28","guid":{"rendered":"http:\/\/www.decisionsciencenews.com\/?p=6789"},"modified":"2018-10-29T11:01:28","modified_gmt":"2018-10-29T15:01:28","slug":"postdoc-and-internship-in-computational-social-science-at-microsoft-research-new-york-city","status":"publish","type":"post","link":"https:\/\/www.decisionsciencenews.com\/?p=6789","title":{"rendered":"Postdoc and Internship in Computational Social Science at Microsoft Research New York City"},"content":{"rendered":"

DEADLINES IN DECEMBER 2018<\/p>\n

\"\"<\/a><\/p>\n

Postdoc in Computational Social Science at Microsoft Research New York City<\/strong><\/p>\n

The Computational Social Science group at Microsoft Research NYC is actively seeking a qualified postdoctoral researcher to join us in advancing the state-of-the-art in computational social science and online experimentation. The ideal applicant will be quantitatively oriented, possess awareness of the theoretical and experimental social science literature, and have experience with experimental design, as well as significant computer programming expertise.<\/p>\n

Qualifications<\/span>
\n\u2022 PhD in computer science, statistics, mathematics, and\/or a related quantitative social science field
\n\u2022 Completion of upper level (undergraduate) and\/or graduate level coursework involving computer programming
\n\u2022 Research agenda that overlaps with computational social science group
\n\u2022 Participation and activity in the scientific community
\n\u2022 Strong communication skills
\n\u2022 The ability to work in a highly collaborative and interdisciplinary environment<\/p>\n

Application deadline<\/span>: December 11, 2018.<\/p>\n

The application is at<\/p>\n

https:\/\/careers.microsoft.com\/us\/en\/job\/533877\/Postdoctoral-Researcher-Computational-Social-Sciences<\/a><\/p>\n

Please list the name Dan Goldstein as a contact in the application.<\/p>\n

 <\/p>\n

PhD student Internship in Computational Social Science (focus on Natural Language Processing) at Microsoft Research New York City<\/strong><\/p>\n

PhD students with computational skills in natural language processing are sought for a paid 12 week internship at Microsoft Research New York City. This internship must start no later than Feb 15, 2019 and end before May 30, 2019. If you are qualified but can only do a summer internship, please contact Dan Goldstein (dgg at microsoft dot com).<\/p>\n

Application deadline<\/span>: December 1, 2018.<\/p>\n

The application is at<\/p>\n

https:\/\/careers.microsoft.com\/us\/en\/job\/528647\/Research-Intern-Microsoft-Research-NYC<\/a><\/p>\n

Please list the name Dan Goldstein as a contact in the application.<\/p>\n","protected":false},"excerpt":{"rendered":"

DEADLINES IN DECEMBER 2018 Postdoc in Computational Social Science at Microsoft Research New York City The Computational Social Science group at Microsoft Research NYC is actively seeking a qualified postdoctoral researcher to join us in advancing the state-of-the-art in computational social science and online experimentation. The ideal applicant will be quantitatively oriented, possess awareness of […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[9],"tags":[997,490,208,294,1784,1785,359,1490,140,173,1546,59,438],"class_list":["post-6789","post","type-post","status-publish","format-standard","hentry","category-jobs","tag-city","tag-computational","tag-goldstein","tag-hofman","tag-internship","tag-language","tag-microsoft-research","tag-natural","tag-new-york","tag-postdoc","tag-processing","tag-science","tag-social"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p4LKj-1Lv","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/6789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6789"}],"version-history":[{"count":1,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/6789\/revisions"}],"predecessor-version":[{"id":6790,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=\/wp\/v2\/posts\/6789\/revisions\/6790"}],"wp:attachment":[{"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.decisionsciencenews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}