George Mason University招收计算机全奖PhD

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George Mason University (GMU) is looking for candidates for two Ph.D. positions fully funded as Graduate Research Assistants.

GMU is one of top 70 U.S. universities and top 200 universities in the world, as ranked by the 2015 Academic Ranking of World Universities (ARWU). GMU is ranked as top-tier research university by Carnegie Classification of Institutions of Higher Education. The Computer Science program of GMU is reported as top 63 by U.S.News&World Report. Being in one of US’s safest regions, GMU is conveniently located just 15 miles from downtown Washington, D.C.

* Position
The Ph.D. position is available for the 2016 fall semester or 2017 spring semester. To apply the 2016 fall semester, student should make sure all the application materials are received by the graduate school by June 15. Otherwise, the student is encouraged to apply for the 2017 spring semester. Student can choose to apply either Computer Science program or Information Technology program.

The research for this position will focus on data mining and machine learning. Specifically, the research areas could include 1) advanced models for sparse learning, feature selection, and deep learning; 2) novel computational methods for outlier detection in spatiotemporal and network data; and 3) effective technologies for text mining, natural language processing, and social network modeling. Application areas include disease surveillance (e.g., using electronically available public health data such as hospital visits and medication sales to automatically identify and characterize emerging outbreaks), urban computing (e.g., crowdsourcing human mobility and social media data to detect traffic congestion, air pollution, and power leakage), law enforcement (e.g., detection and prediction of crime patterns using offense reports and 911 calls), and health care (e.g., detecting anomalous patterns of care which significantly impact patient outcomes).

* Requirement
The successful candidate should have a degree in computer science, electrical engineering, or a closely related area. The candidate is required to be versatile, highly motivated. Excellent programming skills are important as well as an understanding of data, text mining and machine learning techniques. A good math background is a plus.

* Application
To apply, interested candidates should submit application to the graduate school and e-mail materials including 1) a statement of motivation, 2) detailed curriculum vitae, and 3) two recommendation letters to Dr. Liang Zhao (homepage: http://people.cs.vt.edu/liangz8/, e-mail: zhaoliangvaio@gmail.com, phone number: (+1) 571-422-2098). Research collaborations are very encouraged to showcase your self-motivation and research potentials, and you will be able to learn more about the research project as well and have opportunities to generate high quality research papers in prestigious conferences and journals such as KDD, ICDM, and TKDE.