Natural Language Processing (NLP) for Social Good Applications

University - Computer science
Match Rate
?
Stage
Ph.D
Duration
48 month
Fund
48000 USD
Fee
100 USD
Deadline
Dec 12, 2024
Start
Sep 02, 2024

About the position

Natural Language Processing (NLP) has emerged as a powerful tool with the potential to address various societal challenges. This research project focuses on leveraging NLP techniques for social good applications. The successful candidate will explore various NLP tasks with a focus on real-world impact. Potential areas of investigation include:

The candidate will be involved in:

Exam Requirements

Research Interests

  • Collaborate with Professor Thomas on a research project exploring Natural Language Processing (NLP) techniques for social good applications.
  • Develop and implement NLP models for tasks such as sentiment analysis, text summarization, and hate speech detection.
  • Collect and curate large datasets for NLP training and evaluation.
  • Analyze the societal impact of NLP technologies.
  • Assist in writing research papers and grant proposals for funding.

Duties and Responsibilities

  • Machine learning
  • Natural language pro
  • Robotics
  • Computer vision
  • ML

Other Requirements, Additional Info

Stanford University boasts a vibrant NLP research community and a strong commitment to social responsibility. The successful candidate will have the opportunity to collaborate with leading NLP researchers, contribute to impactful projects with real-world applications, and shape the ethical development of NLP technology for social good.
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Professor
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Dr. Sarah Thomas

Professor
Bio

Sarah Thomas is a Professor of Computer Science at Stanford University. She received her PhD in Computer Science from MIT in 2004. Her research interests include machine learning, artificial intelligence, computer vision, robotics, and natural language processing. She has published over 100 papers in top academic conferences and journals. She has also received several awards for his research, including the ACM SIGKDD Innovation Award, the NSF CAREER Award, and the Google Faculty Research Award. Professor Thomas is a passionate teacher and has won numerous teaching awards. She is also an active member of the computer science community and has served on several program committees and editorial boards. She is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and the Institute of Electrical and Electronics Engineers (IEEE).