Dr. Jindong Wang, currently a Senior Researcher at Microsoft Research Asia, will join William & Mary, one of the "Public Ivies," as an Assistant Professor in January 2025. He plans to recruit several fully-funded PhD students and research assistants for Fall 2025 admission. Research directions include: machine learning based on large models, philosophy of language models, and the intersection of artificial intelligence and social sciences. Dr. Wang has published over 60 papers in top conferences and journals, with over 14,000 citations. He was ranked among the top 2% of highly cited scientists globally by Stanford University, and his research has been reported by renowned media such as MIT Technology Review and Forbes. He has guided over 10 undergraduate, master's, and PhD students to publish top-tier papers from scratch. He currently serves as an Associate Editor for IEEE TNNLS and JCST, and as an Area Chair for NeurIPS, ICLR, KDD, and ACMMM. He maintains close connections with top global universities and companies and has ample GPU resources. Personal website: http://jd92.wang. If interested in applying, please visit this link: https://forms.gle/uKTAz3n9ySPeemMBA.

美国公立常春藤威廉玛丽学院王晋东教授招收25 Fall全奖PhD/实习生

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Research Directions

Computational Resources

Our small and elite school has fewer students, which brings the advantage of more resources per capita:

Academic and Industry Collaborations

Dr. Wang maintains extensive collaborations with global institutions in the USA, Europe, Australia, Japan, Korea, Hong Kong, Singapore, and more, including but not limited to:

Carnegie Mellon University, Stanford University, Duke University, University of Illinois Urbana-Champaign, UCLA, UC Santa Barbara, Georgia Tech, University of Illinois Chicago, Max Planck Institute in Germany, Idiap Research Institute in Switzerland, Nanyang Technological University, University of Technology Sydney, Chinese University of Hong Kong, University of Tokyo, KAIST, Westlake University, Peking University, etc. He maintains good collaborative relationships with both renowned professors and young scholars, and fully supports joint supervision with these mentors.

Dr. Wang's rich industry experience provides students with advantages for internships at leading companies such as Microsoft, Google, Amazon, and Squirrel AI.

PhD Student Requirements