Machine Learning and Data Mining Positions @ Computer Science Depart...

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Dr. Jean Gao's research lab focused on developing cutting-edge machine learning, data mining, and artificial intelligence algorithms with application to biomedical and clinical problems. Dr. Gao received her PhD in Electrical and Computer Engineering from Purdue University. She is currently a Full Professor in the Computer Science and Engineering Department at University of Texas at Arlington (UTA) and a Program Director at National Science Foundation ( crystal.uta.edu).

Her research discoveries have been reported in over 180 peer-reviewed top journals and conference proceedings. She was the recipient of prestigious National Science Foundation Career Award, UTA College of Engineering Research Excellence Award, and UTA Outstanding Young Faculty Award. Students graduated from her lab are working both in industry (Microsoft, Amazon, Symantec) and academia (University of Nevada Los Vegas, University of Colorado Denver, and University of Texas Rio Valley).

UTA is a Carnegie R1 (very high research activity) institution and the Computer Science department is ranked #56 in the nation by csrankings.org (as of September 2019, based on average 2017-19 publication counts) and several areas within it are ranked in the top 50, including AI (#45), computer vision (#48), the web & information retrieval (#44), security (#27), databases (#28), HPC (#20).

UTA is located in the heart of the Dallas/Fort Worth area of North Texas – the fourth-largest metropolitan area in the United States. The region has one of the highest concentrations of corporate headquarters in the nation, and just minutes from campus, DFW International Airport and several interstate highways allow easy access to global collaboration and commerce.

Dr. Gao is looking for hard-working PhD students with good math background and programming skills with either a BS or MS degree. Full financial support (RA/TA) will be provided. If you are interested, please email your resume and transcripts to “1point3acres.com”.
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