Ph.D. Openings in Data Science & Machine Learning & AI for Fall 2019
Visiting Ph.D./Scholars Positions are also available
UT Arlington COSMOS Center
两年相关工作经验，有机会申请免GRE. 方向 Data Science/Machine Learning/AI.
实验室COSMOS和美国大公司AI业界前沿联系紧密, 学生在工业界或学术界发展机会很多
。COSMOS最近毕业PhD有去NVIDIA, IBM，AA, Samsung/Harman, BNSF工作，也有去top
schools, like Harvard University, USC, Washington University做教职或博后。
2019 Fall 实验室项目需要补招2-3名博士生，感兴趣的可以发CV和成绩单到 Dr.
Shouyi Wang at shouyiw@uta.edu for quick review，目前申请还可以赶上系里3月-4
月发offer.
UT Arlington 位于美国人口第四大的DFW地区，是目前美国经济发展最好的区域之一，
生活便利，大公司密集，实习和工作机会很多。DFW机场有北京，上海，香港的直飞航
线。
Position Information: multiple Ph.D. positions are open for Fall 2019 at the
Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at
University of Texas at Arlington. Graduate students with strong quantitative
background and programming skills are encouraged to apply. The research
directions include Data Science, Machine Learning, Advanced Analytics,
Artificial Intelligence & Deep Learning with broad applications to
healthcare and industry. If you are interested, please send your CV to Dr.
Shouyi Wang at shouyiw@uta.edu. We will evaluate your CV and give feedback
quickly. Accepted Ph.D. students will work with Dr. Wang and will be
provided with full financial support for the entire PhD study (4 years).
GRE Waiver: candidates with 2 years of working experiences may be approved
to waive GRE. Visiting Students/Scholars Positions are also available in
Data Science/Machine Learning/AI.
Lab Information: The COSMOS Center is conducting world-leading research in
Advanced Data Analytics, Machine Learning Research, Complex System
Optimization & Modeling, Healthcare and Biomedical Informatics, and AI-
driven Technologies. The lab has very strong connections to AI industry. The
renowned research collaborators include Apple, Foxconn International, IBM,
Facebook/Oculus, Samsung/Harman AI Group, and NVIDIA.
The COSMOS Center PhD graduates are highly popular and highly paid in the US
and World job market. Recent Ph.D. graduates of COSMOS Center obtained jobs
at American Airlines, United Airlines, Google, UPS, CSX, AT&T, Alibaba/
Seattle, Bank of America, BNSF, General Motors, etc. Our Ph.D. graduates
also have immense opportunities to pursue academic careers. Some recent Ph.D
. students obtained faculty/teaching or postdoc positions at top schools,
including Washington University in St. Louis (Business School), Washington
University (Seattle), University of Southern California, and Harvard
University (School of Medicine).
The Current Research Projects & Topics include:
- Machine Learning Research for Large Scale Big Data Analytics
- Interpretable Machine Learning Models for Biomedical Data Mining &
Knowledge Discovery - Brain Informatics and Computational Neuroscience Research
- Brain-Computer Interfaces and Brain-Inspired AI Technologies
- Deep Learning Techniques and Applications in Healthcare and Brain Big Data
- Deep Reinforcement Learning and Interactive Intelligent Robotics Systems
- Precision Medicine and Personalized Healthcare Systems
School Information: With more than 50,000 enrolled students, UTA is one of
the largest public universities in the nation. According to 2018 U.S. News
and World Report, UTA Engineering School is ranked #73 among 200 national
universities. The Industrial, Manufacturing, & Systems Engineering (IMSE)
Department is ranked #44 for Graduate Programs. With great resources and
Texas State support, the IMSE department is one of the fastest growing
programs in the US. Currently, the IMSE Department at UTA has more than 50
Ph.D. students and more than 400 MS students.
DFW/Arlington Area: Located at the US 4th largest metropolitan areas (Dallas
/ Fort Worth Area), the COSMOS Center at UT Arlington is very strong in both
world-leading research activities and strong industry support and
collaborations. The Chronicle of Higher Education ranked The University of
Texas at Arlington 7th fastest-growing public research universities. The DFW
Airport is a world hub in the US and has direct flights to Beijing,
Shanghai, Hong Kong, and most major cities worldwide.