招生:Ph.D. position at the University of Houston (Industrial Engineering)

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美国休斯顿大学 (U Houston) 工业工程系 (Industrial Engineering) 的林颖老师招全奖博士生 (Fall 2018)。Dr. Lin 的研究致力于统计学习及其在生物信息, 疾病预防和监控,医疗决策方面的应用。希望申请人具有较强的学习热情,以及不错的数学基础和编程能力。欢迎感兴趣同学发送个人简历及成绩单至 [email protected].

Dr. Ying Lin with the Department of Industrial Engineering at the University of Houston is seeking PhD students starting in Fall 2018. The prospective students will receive doctoral level financial support (20000/year) and tuition waiver.
The research interests of Dr. Lin’s group lie at the interaction of data analytics, quality engineering and healthcare. Her group focuses on the following research directions:
Statistical learning and data mining: multi-source data analysis, spatial and temporal data analysis, data driven decision making.
Quality engineering: system modeling and prognostics, selective sensing.
Medical decision making: personalized medicine, disease prevention, monitoring and treatment.
The prospective students are expected to have strong backgrounds in mathematics, analytics and programming.
Bio:
Dr. Ying Lin joined the Department of Industrial Engineering at the University of Houston as an Assistant Professor in Fall 2017. She received her PhD degree in the Industrial and Systems Engineering from the University of Washington and Bachelor degree in Statistics from the University of Science and Technology in China. More information about her research is available on https://www.researchgate.net/profile/Ying_Lin27.
University of Houston is an “R1” – highest research activity – institution located in the fourth-most populous city in the United States and near the heart of Houston. More information about the university and the department is available on http://www.uh.edu/. Alive with energy and rich in diversity, Houston provides great job opportunities and attracts a dynamic population of imagination, talent and first-class attractions. More information about Houston can be found on http://www.houstontx.gov/.
To apply:
Interested students may email Dr. Ying Lin ([email protected]) with a detailed CV and college education transcripts.
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