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Integrated Academia-Industry Research Experience For Undergraduate In Smart Structure Technology


View this Opportunity's Website 


Academic Level:
Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior

Description:
The goal of this Research Experience for Undergraduate (REU) program is to provide students a unique research experience in both academic and industrial settings within the context of Smart Structure Technologies. Smart Structures Technologies (SST) are sensing and actuation strategies aimed at improving the behavior of structural systems. In this REU program we aim to look at strengthening collaborations between industry and academia by applying SST techniques aimed at solving industrial problems. The main objectives of this REU program are to:

1. Provide undergraduates participants a unique and exciting summer research experience in both academic and industrial environments;

2. Prepare students to become the catalysts to help close the gap between academia and industry; and

3. Motivate the participants, especially those from underrepresented groups, not only to complete their undergraduate degrees, but also to pursue advanced degrees and/or careers in engineering.

Secondary objectives are to:

1. Strengthen the collaboration between academia and industry and establish a collaborative environment to provide students unique the research experiences;

2. Provide participating students a better understanding of different research opportunities and expectations in academia and industry; and

3. Improve students’ professionalism and autonomy.
Recently updated.just posted!

Application Deadline: 2/16/2018

Participating Institution(s):
(Click an institution to see all programs it hosts)
San Francisco State University (Lead)
University of South Carolina, Columbia (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Civil & Environmental Engineering
Computer & Electrical Engineering
Mechanical & Industrial Engineering
Sensor Science & Engineering
STEM Fields

Keywords:
Computer Modeling
Control Systems
Data Analysis
Data Science
Dynamical Systems
Earthquake Engineering
Engineering Research
Sensor Applications
Signal Processing
Smart Structures

Questions about this program?
Click here to view this program's website

This program is funded by:
National Science Foundation (NSF)


Page last updated 12/3/2017 11:56:17 AM
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