Wei Wang
Top university
1 month ago
Postdoctoral Position in Computer Science and Scalable Analytics at University of California, Los Angeles University of California, Los Angeles in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
University of California, Los Angeles

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Where to contact
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About this position
A postdoctoral position is available in the field of Computer Science at the University of California, Los Angeles (UCLA), under the supervision of Professor Wei Wang, Leonard Kleinrock Chair Professor and Director of the Scalable Analytics Institute (ScAI). The research focus is on scalable analytics, data science, artificial intelligence, and machine learning. UCLA is a leading institution in computer science research, and ScAI is renowned for its work in large-scale data analytics and computational methods.
Applicants should have a PhD in Computer Science or a closely related discipline and demonstrate a strong background in scalable analytics, data science, AI, or machine learning. The post does not specify further eligibility criteria, funding details, or application deadlines. Interested candidates are encouraged to contact Professor Wei Wang directly via email with their application materials. This is an excellent opportunity for researchers interested in advancing their careers in a top-tier academic environment and contributing to cutting-edge research in scalable analytics and computer science.
For more information, refer to the LinkedIn post and the ScAI website. The position offers the chance to work in a dynamic research group at UCLA, collaborating with leading experts in the field.
Funding details
Available
What's required
Applicants should have a PhD in Computer Science or a closely related field. Strong background in scalable analytics, data science, artificial intelligence, or machine learning is preferred. Additional requirements or preferences are not specified in the post.
How to apply
Submit your application directly to Professor Wei Wang at [email protected]. Include relevant documents such as your CV and research statement. Refer to the provided LinkedIn post for more details.
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