{"id":1110186,"date":"2024-12-05T23:54:34","date_gmt":"2024-12-06T07:54:34","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-job-opportunity&#038;p=1110186"},"modified":"2024-12-06T00:34:43","modified_gmt":"2024-12-06T08:34:43","slug":"intern-microsoft-research-ai-for-science-material-science","status":"publish","type":"msr-job-opportunity","link":"https:\/\/www.microsoft.com\/en-us\/research\/opportunity\/intern-microsoft-research-ai-for-science-material-science\/","title":{"rendered":"Intern &#8211; Microsoft Research AI for Science (Material Science)"},"content":{"rendered":"<p><strong>Position<\/strong>: Intern &#8211; Microsoft Research AI for Science\u00a0(Material Science)<\/p>\n<p><strong>Location<\/strong>: Shanghai<\/p>\n<p><strong>Research Area<\/strong>: Material Science<\/p>\n<p><strong>Team Introduction:<\/strong><\/p>\n<p>Microsoft Research AI for Science was founded in 2022, with a mission to drive new fundamental research advancements at the intersection of artificial intelligence and natural sciences. The goal is to transform the way humanity understands and shapes the world, while bringing disruptive innovations to industries such as pharmaceuticals, chemicals, materials, and energy. As a rapidly growing global team, the team have members located in China, the UK, the US, the Netherlands, and Germany, it encompasses world-class experts from diverse disciplines such as machine learning, computational physics, computational chemistry, molecular biology, software engineering, and others.<\/p>\n<p><strong>Responsibilities<\/strong>:<\/p>\n<ul>\n<li>Participate in research projects at the intersection of machine learning and natural sciences<\/li>\n<\/ul>\n<ul>\n<li>Develop models based on deep learning and implement downstream algorithms for property prediction<\/li>\n<\/ul>\n<ul>\n<li>Use deep learning models to simulate molecules and materials and predict their properties<\/li>\n<\/ul>\n<ul>\n<li>Apply research findings to practical problems to improve the efficiency and quality of natural science research<\/li>\n<\/ul>\n<p><strong>Qualifications<\/strong>:<\/p>\n<ul>\n<li>A solid background in theoretical physics, chemistry, mathematics, or computer science (both graduate and undergraduate students are welcome\uff09<\/li>\n<\/ul>\n<ul>\n<li>Familiarity with common deep learning models, such as GNN-based or Transformer-based models, with experience in using or modifying them<\/li>\n<\/ul>\n<ul>\n<li>Familiarity with Git and team development processes<\/li>\n<\/ul>\n<ul>\n<li>Ability to use or quickly master common classical\/ab initio atomistic modeling codes<\/li>\n<\/ul>\n<ul>\n<li>Proficiency in Python and commonly used libraries<\/li>\n<\/ul>\n<ul>\n<li>Strong problem-solving, teamwork, and communication skills<\/li>\n<\/ul>\n<p><strong>Preferred Qualifications<\/strong>:<\/p>\n<ul>\n<li>Proficiency in density functional theory, molecular dynamics, or related theories<\/li>\n<\/ul>\n<ul>\n<li>Familiarity with various electronic structure methods and theories<\/li>\n<\/ul>\n<ul>\n<li>Familiarity with traditional atomistic force fields<\/li>\n<\/ul>\n<ul>\n<li>Familiarity with molecular and crystal representation theories, machine learning force fields, etc.<\/li>\n<\/ul>\n<ul>\n<li>Ability to modify code or add functionalities to scientific software<\/li>\n<li>Experience with paper publications, ACM, or other programming competitions<\/li>\n<\/ul>\n<p>Able to obtain supervisor&#8217;s permission and commit to a full-time internship for at least six months. Immediate availability is preferred.<\/p>\n<p>Interested candidates should send their resume to <a href=\"mailto:aiforscienceasia@microsoft.com\">aiforscienceasia@microsoft.com<\/a>. The subject line should include &#8220;Intern + [Research Area] + [Name] + [School] + [Year] + [Major].&#8221; Full-time opportunities are also welcome for inquiries.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u5c97\u4f4d\uff1a\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3<\/strong> <strong>\u5b9e\u4e60\u751f\uff08\u6750\u6599\u79d1\u5b66\uff09<\/strong><\/p>\n<p><strong>\u5730\u70b9\uff1a\u4e0a\u6d77<\/strong><\/p>\n<p><strong>\u7814\u7a76\u65b9\u5411<\/strong><strong>: <\/strong><strong>\u6750\u6599\u79d1\u5b66<\/strong><\/p>\n<p><strong>\u56e2\u961f\u4ecb\u7ecd\uff1a<\/strong><\/p>\n<p>\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\uff08Microsoft Research AI for 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