{"id":1082457,"date":"2024-09-24T02:48:42","date_gmt":"2024-09-24T09:48:42","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-job-opportunity&p=1082457"},"modified":"2024-10-10T02:05:58","modified_gmt":"2024-10-10T09:05:58","slug":"research-intern-for-multimodal-computing-group","status":"publish","type":"msr-job-opportunity","link":"https:\/\/www.microsoft.com\/en-us\/research\/opportunity\/research-intern-for-multimodal-computing-group\/","title":{"rendered":"Research Intern for Multimodal Computing Group"},"content":{"rendered":"
Number of Openings:<\/strong> 2-4<\/p>\n Location: <\/strong>Beijing\/Shanghai<\/p>\n Group Introduction:<\/strong> Job Responsibilities:<\/strong><\/p>\n Qualifications:<\/strong><\/p>\n Internship Duration Requirements:<\/strong><\/p>\n Must obtain permission from your academic advisor and commit to at least three months of internship.<\/p>\n Please be sure to download and complete the application form (Application form link: https:\/\/aka.ms\/InternApplication<\/a>) and send it along with a complete English and Chinese resume (in PDF\/Word format) to: MSRAih@microsoft.com<\/a> & jianf@microsoft.com<\/a>. 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\u5de5\u4f5c\u804c\u8d23\uff1a<\/strong><\/p>\n \u4efb\u804c\u8981\u6c42\uff1a<\/strong><\/p>\n \u5de5\u4f5c\u65f6\u95f4\u8981\u6c42\uff1a<\/strong><\/p>\n \u80fd\u83b7\u5f97\u5bfc\u5e08\u8bb8\u53ef\u5e76\u4fdd\u8bc1\u81f3\u5c11\u4e09\u4e2a\u6708\u7684\u5b9e\u4e60\u3002<\/p>\n \u8bf7\u52a1\u5fc5\u4e0b\u8f7d\u5e76\u586b\u5199\u7533\u8bf7\u8868\uff08\u7533\u8bf7\u8868\u94fe\u63a5\uff1ahttps:\/\/aka.ms\/InternApplication<\/a> \uff09\u5e76\u5c06\u5176\u4e0e\u5b8c\u6574\u7684\u4e2d\u82f1\u6587\u7b80\u5386\uff08PDF\/Word\u5f62\u5f0f\uff09\u4e00\u540c\u53d1\u9001\u81f3\uff1aMSRAih@microsoft.com<\/a> & 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\nThe Multimodal Computing team at Microsoft Research Asia is dedicated to advancing state-of-the-art AI technologies that enhance understanding and interaction with people, objects, and environments in the multimodal real world. Our research encompasses a wide array of fields, including computer vision, generative AI, multimodal modeling, 3D perception, and robotic action learning, among others. By exploring the frontiers of these domains, we aim to develop innovative solutions that bridge the digital and physical worlds, empowering AI systems to perceive, comprehend, and navigate complex real-world scenarios.<\/p>\n\n
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