GRADUATE RESEARCH ASSISTANTSHIP
Fully funded PhD/MS positions (Tuition + stipend) are available in the area of experimental and computational damage mechanics/ Machine Learning at North Dakota State University, Department of Civil and Environmental Engineering.
Candidates are expected to have a degree in one of the following fields: Civil (Structures), mechanical, material science, computer science or any relevant engineering discipline with strong interest in mechanics, statistics, numerical methods, experimental techniques and programming. Candidates with background in continuum mechanics, statistics, machine learning, finite element methods, experimental techniques and programming are strongly encouraged to apply. Evidence of strong scholarship may outweigh the background of the candidate. Journal publications, conference presentations are a plus.
The incumbent will be part of an exciting team that specializes in using theoretical and experimental mechanics to address 21st century infrastructural needs. North Dakota State University is a student focused research intensive land grant University located in Fargo (ND). With low unemployment and median house rents, Fargo topped 2016 America’s best small college towns list (source: schools.com).
Interested candidates should immediately email their CV (Education, awards/honors, GRE, Toefl test scores, list of graduate courses, list of journal/ conference publications (if any), list of 3 professional references) to Dr. Ravi Kiran Yellavajjala (email@example.com with a subject line "PHD APPLICANT". Only shortlisted candidates will be contacted.