We understand that the new generation of engineers want to work on compelling, societal-scale problems, and autonomous cars are certainly fall into that category. Almost all applicants to the program will have a driver's license, but this not a constraint in getting involved in research projects that requires designing algorithms to address the computation, communication, and control aspects of the connected and autonomous vehicle technology. Accepted students will be working with (full-size) robotic car, which is part of the active research portfolio of the PI, and has been used to design student research topics. Various interfaces to the vehicle will be exposed, enabling students to work on specific projects that analyze data while the car is in use, or that carry out experiments with the car.

We want your application! You can start the application process now, and assemble your final materials later. If you start your application process early, we can remind you as the deadline approaches. The application process involves:

  1. Filling out the application with readily available information (GPA, courses taken, address, etc.)
  2. Visiting the site later to submit additional materials (statement of purpose, unofficial transcript, names of letter writers, etc.)
  3. Reminding your letter writers to submit their recommendations.


CAT Vehicle REU 2018 Team with  the self-driving car CAT Vehicle

Start your application process here. We use the CISE REU Common Application, which allows you to be considered for other REU Site opportunities (if you elect to do so).

This is Part 2 of the application process: you must also fill out the CISE REU Common online application form for Arizona, if you have not done so already. You can revisit this page at any time to upload your application materials, but please only fill out the form one time.

Update: If the form fails to submit and provides the error message(s) "Statement of Purpose Field is Required" and/or "Transcript Field is Required", then add your files but do not press the upload button. This is a documented problem with the latest version of our web server.

  • 5 December 2019 :  Applications open
  • 1 March 2020: Applications due, to guarantee full consideration
  • 2-8 March 2020: Letters of Recommendation due, to guarantee full consideration
  • 9-20 March 2020: Selection process
  • 31 March 2020: Notification deadline
  • April-May 2020: Preparation and background reading
  • June-August 2020: 10-week program.

This REU site will support 10 students over the summer. Each student will receive:

  • Stipend of $6,000 over the summer
  • Housing and $600 travel allowance to Tucson, AZ
  • Letters of recommendation from their faculty mentors

Students will participate as researchers for the summer, working side by side with graduate researchers and faculty who are experts in cognitive radio and autonomous ground vehicles. Want to know more about what the REU is like? Check out the videos made by previous CAT Vehicle participants.

REU 2018: Lane detectives showing their pride after successful testing

Are you a faculty member submitting a letter on behalf of an applicants? We will begin reviewing applications 1 week after the application deadline.

Whether for business or pleasure, people come from all across the world to visit Tucson's blossoming green landscape. Found in the Sonoran Desert - dubbed "the greenest of deserts" - Tucson offers travelers clear skies, fresh air, stunning sunsets and rugged outdoor adventures.

CAT Vehicle 2019

Brandon Dominique (New Jersey Institute of Technology)

Daniel Fishbein (Missouri State University)
 Kreienkamp (University of Notre Dame)

Alex Day (Clarion University of Pennsylvania)
Sam Hum (Colorado College)
Riley Wagner
 (the University of Arizona)

Eric Av (Gonzaga University)
Hoang Huynh (Georgia State University-Perimeter College)
John Nguyen (University of Minnesota, Twin Cities)

Brandon Dominique's experience: A brief overview of the work that I did at the University of Arizona for their student-led self driving car project, the CAT Vehicle.