美国弗吉尼亚理工大学招收编程和数学背景的博士生

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本团队想要招收一名具有编程经验和数学背景的博士新生。该生将进入弗吉尼亚理工统计系（或电子工程/机械工程系）完成博士课程, 并完成机器学习和统计建模方面的博士论文。我们会提名该生获得本校提供的全额跨学科奖学金（本奖学金提供前四年学杂费全免，以及每年三万美金左右的工资；四年以后会安排其他全额助教/助研奖学金）。

本团队的研究项目致力于使用计算机模拟，统计建模，和机器学习来研究如何将生物声纳应用于无人驾驶飞行器。详情请看下面的英文介绍。 感兴趣的同学请将简历,成绩单, GRE and TOEFL成绩通过email发给Dr. Hongxiao Zhu (hxzhu2010@gmail.com)。非正式的成绩单和GRE/TOEFL分数亦可。我们完成初步筛选后会跟你联系。

Scholarship Opportunity at Virginia Tech, U.S.A.

An interdisciplinary team is searching for a candidate to apply for either one of the following PhD programs: Statistics, Electrical and Computer Engineering, Mechanical Engineering at Virginia Tech. If selected, the team will nominate the candidate for a doctoral scholarship sponsored by the Institute for Critical Technology and Applied Science (ICTAS) at Virginia Tech. The scholarship offers full tuition waive plus 12 months’ stipend for four years.
Expectations:
(1)        The candidate is expected to meet the admission requirements of the targeting PhD program. The standards may vary for different departments, but the admission committee usually looks at application materials such as GPA, transcripts, GRE and TOEFL (international student only) scores, as well as recommendation letters.
(2)        If successfully recruited, the candidate is expected to work with the team on sonar-based computation and learning. More information of the project is available at: http://www.apps.stat.vt.edu/zhu/projects/sonar_page.htm . The candidate will develop computational tools and machine learning algorithms for sonar-based drones that mimic bats’ biosonar. In particular, the candidate will primarily focus on computation, including environments/ echo simulations, data analysis, modeling, and the development of robotic algorithms. In this regard, computation skills in either Matlab or Python is required; lower-lever programming languages such as C/C++ are highly desirable; knowledge in high-performance computing; computer graphics, mathematical and statistical modeling is a plus.  

We encourage either domestic or international applicants with strong quantitative and computational background to apply for this opportunity. If interested, please email your CV, transcripts, GRE and TOEFL (if applicable) to Dr. Hongxiao Zhu (hxzhu2010@gmail.com).