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The engineering economy is becoming increasingly global. To succeed in this new economy, engineers must not only be technically competent and effective at working within multidisciplinary teams, but they must also have the cultural, social, and language skills necessary to effectively interact with colleagues and customers overseas.
Funded by the National Science Foundation (NSF), Virginia Tech (USA) and the Technische Universität Darmstadt (Germany) have established a dual international NSF Research Experiences for Undergraduates (REU) site to encourage US undergraduate students to pursue graduate studies and a research career within an international context and, in particular, within the area of automotive engineering. The ninth cohort of 9 students will enroll in this REU program for Summer 2019.
Two REU students will be located at Virginia Tech in Blacksburg, Virginia; and seven REU students will be located at Technische Universität Darmstadt in Darmstadt, Germany. These students will join local graduate research teams in the area of automotive engineering. The objective is to place the REU students, to the extent possible, in joint Virginia Tech - Technische Universität Darmstadt research projects so they can participate in transatlantic research teams with REU students in both locations.
Language Skills: The research will take place using English. German language skill, while desirable, will not be required.
We are now processing the applications and filling the positions.
See Projects for information on our progress.
We are now processing the applications and filling the positions. See Projects for information on our progress.
Research Locations (Summer 2019)
"Postmarked" is the date that you submitted your letter at your local post office (not the date it eventually arrives in Virginia).
The REU students will receive a stipend of at least US$5,000 plus free room, board, and travel. The exact amount of the stipend will be determined in April 2019 once the cost of air travel and the currency exchange rates are less uncertain.
Revised: Monday, 01-Apr-2019 10:42:32 EST