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TheWang Smart and Resilient Structure Research Group at Washington StateUniversity invites application from highly motivated students for graduatedresearch in the broad area of sensing and machine learning applications instructural engineering, wind engineering and resilience assessment. Researchwill be highly interdisciplinary at the intersection of civil engineering andother fields. Specifically, research topics will include four main areas: (i) Machinelearning-assisted catastrophe modeling; (ii) Computer vision-based structuralcondition assessment; (iii) drone-based data acquisition and analysis; and (iv)bluff-body aerodynamics and structural wind resilience. Required qualificationsand skills: - Researchexperience in structural engineering and/or machine learning/computer vision - Strongbackground in linear algebra, statistics, and structural dynamics - Excellentprogramming skills (e.g., C/C++/Python/MATLAB) - Commitmentto publishing and presenting research findings - Strongwriting and communication skills - Beingrespectful and committed to building an inclusive and welcoming environment Application: Interestedapplicants are encouraged to reach out to Dr. Wang at haifeng.wang@wsu.edu. Pleasesend (i) your current CV (please highlight your GPA for all degrees) and (ii) acover letter describing your motivation for this application, potentialresearch areas for your thesis, and how your experience and interests make youa great fit for this position. Please use "Application for Ph.D. Research"as the email subject. If you have been awarded or are applying for externalfunding or fellowship that could fully or partially cover the expenses duringyour Ph.D., please ensure to pass along this information as it would benefityour application.
Related links: Dr. Wang Profile: hfwang.dev, Google Scholar, ResearchGate Minimum Requirements: https://gradschool.wsu.edu/degrees/factsheet/doctor-of-philosophy-civil-engineering/ Washington State University is one of just131 U.S. colleges and universities—out of 6,500+ public and privateinstitutions—named among doctoral universities with “very high researchactivity” in the Carnegie Classification (2018). This designation representsthe highest level of research activity for doctoral institutions. |