Scholarship Opportunity on Computing and Machine Learning at Virginia Tech

appalachianUID: 3911349

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 U.S. 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).