logo





Solving Problems with Data Science
at Virginia Tech


Summer Research Experiences for Undergraduates

Funded by the National Science Foundation

May 22, 2023 to July 30, 2023

  • 20 positions available
  • Receive a stipend of $7,000
  • Funds for travel to Blacksburg, Virginia
  • Free housing and meals on campus
  • Hands on research working with grad students & faculty
  • Cultural activities & training in ethics & professionalism

Applications Due March 24, 2023. Click Here to Apply!


Undergrad Research at VT

Click Here to Submit a Reference Letter



field campaign

Overview

This paid summer REU program is for undergraduates (current or recent graduates) interested in solving problems with data at the interface of biology and engineering. Students will collect data, and learn to make decisions from these data. Research projects will use sensor-based assets and/or computational-based assets at Virginia Tech. Students will learn to communicate effectively with fellow students, policymakers, and the public. Students will be fully integrated into participating research groups and will experience hands on research, group meetings, and close collaboration with other members of related research groups.


Research Projects

Exploring the link between cancer cell/nuclear size and clinical outcome (Cimini Lab)

Emission, Transport, and Deposition of Atmospheric Microplastics (Foroutan Lab)

Plant Health Monitoring for Indoor Farming (Li Lab)


Automated Turfgrass Pest Mapping using Aerial Image Analysis (McCall Lab)


Data-Driven Methods for Science and Engineering (Ross Lab)

Transport of Hazardous Agents in the Air and Water (Schmale Lab)

Autonomous systems for specialy crops load, canopy, and disease estimations (Seyyedhasani Lab)

Comparative biomechanics of animals (Socha Lab)

Detection of Waterborne Contaminants (Vikesland Lab)

 
Eligibility
Must be U.S. Citizen or permanent resident. Must be and remain an undergraduate (or recent graduate) in good standing. Must plan to complete a degree program. Students devote full time research efforts and must not accept additional employment.