{"id":9203,"date":"2011-08-19T11:07:24","date_gmt":"2011-08-19T15:07:24","guid":{"rendered":"https:\/\/itp.nyu.edu\/opportunities\/?p=9203"},"modified":"2011-08-19T11:08:31","modified_gmt":"2011-08-19T15:08:31","slug":"job-research-social-scientist-the-experience-insights-lab-ca","status":"publish","type":"post","link":"https:\/\/itp.nyu.edu\/opportunities\/2011\/08\/19\/job-research-social-scientist-the-experience-insights-lab-ca\/","title":{"rendered":"JOB: Research \/ Social Scientist &#8211;  The Experience Insights Lab, CA"},"content":{"rendered":"<p>Job Description<\/p>\n<p>Research \/ Social Scientist &#8211; 604804<\/p>\n<p>Description<\/p>\n<p>The Experience Insights Lab (XIL) in the Interaction &amp; Experience Research IXR group in Intel Labs seeks<br \/>\na research scientist to develop and conduct hybrid quantitative &amp; qualitative research projects. The<br \/>\ncandidate must be able to conduct statistical analyses on very large, heterogeneous data sets and create<br \/>\ninnovative and compelling visualizations that capture the patterns, dynamism and movement in the<br \/>\npatterns. Example projects could include writing software to track how people use their mobile phones,<br \/>\ndeploying that script on a few hundred devices for a month, and analyzing + visualizing the results. Or,<br \/>\nmining a hundred years of US patent data and creating an interactive display about trends in innovation.<\/p>\n<p>The candidate must also create, maintain, and troubleshoot software on multiple platforms, work<br \/>\nwith engineers and ethnographers to develop projects, methods, and tools for discovery, analysis and<br \/>\nsynthesis and communicate research findings to engineering and business stakeholders. The candidate<br \/>\nwill translate findings into technology, product, service and business concepts and work extensively with<br \/>\nIXR, IL and other Intel business units.<\/p>\n<p>The ideal candidate will have experience with one or more of the following: Information Visualization,<br \/>\nComputer Science, Statistics<\/p>\n<p>Qualifications<\/p>\n<p>This position requires an ability to combine elements of machine learning, statistical data analytics, and<br \/>\ndata visualization to support social and drive research agendas. This position requires a proven ability<br \/>\nconnecting quantitative methods with such qualitative social research methods as ethnography, surveys,<br \/>\nobservation, and media studies.<\/p>\n<p>Minimum Requirements:<br \/>\n-Masters degree in information visualization, computer science, or in the social sciences with an<br \/>\nemphasis on statistical analysis, and\/or in a related field, such as economics, sociology, psychology,<br \/>\nmedia art, etc.<br \/>\n-6 months strong programming and analytic software skills required (e.g. MatLab, Java, C++, or similar).<\/p>\n<p>Preferred Requirements:<br \/>\n-Experience working with large data sets is preferred.<br \/>\n-Familiarity with social science theory and qualitative methods is also desired.<br \/>\n&#8211; PhD preferred.<\/p>\n<p>Job Category<\/p>\n<p>: Engineering<\/p>\n<p>Primary Location<\/p>\n<p>: USA-California, Santa Clara<\/p>\n<p>Other Locations<\/p>\n<p>: USA-Oregon, Hillsboro<\/p>\n<p>Full\/Part Time<\/p>\n<p>: Full Time<\/p>\n<p>Job Type<\/p>\n<p>: Recent College Graduate<\/p>\n<p>Regular\/Temporary<\/p>\n<p>: Regular<\/p>\n<p>Posting Date<\/p>\n<p>: Aug 3, 2011<\/p>\n<p>Contact: ken.anderson@intel.com<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Job Description Research \/ Social Scientist &#8211; 604804 Description The Experience Insights Lab (XIL) in the Interaction &amp; Experience Research IXR group in Intel Labs&#8230;<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-9203","post","type-post","status-publish","format-standard","hentry","category-job","entry"],"_links":{"self":[{"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/posts\/9203","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/comments?post=9203"}],"version-history":[{"count":0,"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/posts\/9203\/revisions"}],"wp:attachment":[{"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/media?parent=9203"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/categories?post=9203"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itp.nyu.edu\/opportunities\/wp-json\/wp\/v2\/tags?post=9203"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}