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Wei Wang

Leonard Kleinrock Chair Professor in Computer Science and Director of the Scalable Analytics Institute (ScAI)

University of California, Los Angeles
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Wei Wang is the Leonard Kleinrock Chair Professor in Computer Science and Director of the Scalable Analytics Institute (ScAI) at the University of California, Los Angeles. His research areas encompass data-driven insights into cardiovascular disease, ethical AI in biomedicine, and effective pandemic surveillance systems leveraging social media mining. He has authored several recent articles focusing on genomic profiling, semi-supervised topic modeling, and the development of data science platforms for analyzing molecular signatures.

Positions (1)

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Wei Wang

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University of California, Los Angeles

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.

10 months ago

Articles (12)

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

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2020

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