Scholarship: Fully funded
Degree: B.S./M.S.
Nationality: International Students
Location: USA
Application deadlines: Autumn 2023, Spring 2024
Scholarship Description:
The University of Houston is ranked among the top 50 research universities in the nation by The Princeton Review and among the top 300 in the world by the global Academic Ranking of World Universities (ARWU). The university is ranked 87th in the 2020 QS and 69th in the 2023 USNEWS for engineering schools. 87th in the 2020 QS American University Rankings and 69th in the 2023 USNEWS College of Engineering Rankings.
Houston is the largest city in the state of Texas, the fourth largest city in the US, and the second largest Fortune 500 headquarters after New York City. The Houston area is one of the world’s most important industrial centres and is home to the Texas Medical Center, the world’s largest medical complex, and NASA’s Johnson Space Center.
Dr Lu Wang will join the Department of Biomedical Engineering at the University of Houston (UH) in autumn 2023 after serving as an Assistant Professor in the Department of Computer Science at Texas State University (TXST). She received her Ph.D. from the University of Toronto, where she published more than 20 first-authored papers in top international conferences and journals, and served as an Associate Editor for several international journals. In addition, Dr Wang maintains close ties with the University of Toronto, top Canadian medical databases, various medical and health organisations in Canada and the United States, and Chinese and American technology companies (Alibaba, ByteDance, Amazon, etc.) to provide excellent internship and collaboration opportunities for outstanding PhD students. Personal homepage: https://sites.google.com/umn.edu/luwang/home
Dr Lu Wang’s lab will have sufficient facilities (2 8-card A100 GPU clusters), sufficient topics and data (Dr Lu Wang will also work at the University of Houston School of Medicine, with rich clinical medical data and extensive collaborations).
Available Subjects:
- Health and medical information
- Data Mining
- Machine Learning-Artificial Intelligence
- Human-Computer Interaction
Eligibility criteria:
- -Have strong mathematical and programming skills;
- -Have a strong interest and enthusiasm for scientific research;
- -have good communication and writing skills in English;
- -Preference will be given to candidates with relevant research experience.
Application Procedure:
Interested individuals please contact [email protected]；
