Scholarship: Full Scholarship
Degree: BS, MS
Nationality: International Students
Location: USA
Application deadlines: Autumn 2022
Scholarship Description:
Dr. Hao Wang received his PhD from the University of Toronto, Canada in 2020, and his BSc and MSc from Shanghai Jiao Tong University in 2015 and 2012 respectively. His research interests include large-scale distributed systems, machine learning systems, cloud computing, and data centre networks, and he works on optimizing the performance of distributed systems using machine learning algorithms to accelerate large-scale data analysis and machine learning tasks. His research has been published in top academic conferences and journals INFOCOM, SoCC, NSDI, EuroSys, TPDS and ToN. For more information, please visit his mentor’s homepage at https://www.haow.ca and lab profile at https://www.haow.ca/joinus.html.
Louisiana State University is an R1 university in the southern region of the United States and the most beloved flagship university for Louisianans. It is one of the few universities in the United States to have been granted both land-grant, sea-grant and space-grant status by the government for its research work. The university covers more than 8 million square metres and is recognised as one of the top 20 most beautiful university campuses in the country.
Available Subjects:
Distributed systems and machine learning
Eligibility criteria:
Preference will be given to students with the following backgrounds.
- Familiarity with programming in a Linux environment, with a background in computer operating systems and networking
- Familiarity with machine learning algorithm theory, background in deep learning or reinforcement learning, mastery of machine learning frameworks TensorFlow/PyTorch/MXNet
- Background in distributed computing systems, familiar with the internal details of Hadoop/Spark systems
Application Procedure:
Please send your CV, all transcripts (for Masters students, please provide both undergraduate and Masters transcripts), TOEFL/IELTS and GRE scores to intellisys.lsu@gmail.com.