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Google Applied Machine Learning Intensive Summer Program for Undergraduate URM Students Available

April 05, 2021

The program is all-expenses-paid and lasts for eight weeks. Graduate students and faculty may also apply.

Undergraduate under-represented minority students are encouraged to apply for acceptance to the National Action Council for Minorities in Engineering (NACME) Google Applied Machine Learning Intensive (AMLI) that will be held this summer at the University of Kentucky. The program is all-expenses-paid and lasts for eight weeks. Graduate students and faculty may also apply. The program is led by Corey Baker, assistant professor in the Department of Computer Science. 

Undergraduate students receive the following:

  • 20 current students will be selected to participate in the rigorous and exciting learning environment over the course of eight weeks.
  • Receive full room and board during the eight-week program.
  • Students will stay in the Ball Hall dorms.
  • Receive travel stipend to cover the arrival and departure costs.
  • Potentially receive a stipend for participating in the program (pending).
  • Earn upper-division CS elective course credit for completing the boot camp. Students will be able to transfer this credit into their respective university/department, pending their respective university policies and guidelines.

Graduate students receive the following:

  • A competitive salary, $8k - $12k for teaching during the eight-week boot camp.
  • Travel stipend to cover the arrival and departure costs to Lexington, Kentucky.
  • Interact with other graduate student researchers and faculty.
  • Graduate student teachers are required to relocate to Lexington, Kentucky, during the eight weeks of the AMLI program.
  • Learn the curriculum before your arrival. If selected, the curriculum will be provided to you.
  • Teach and interact with the AMLI students for 2-3 hours a day, five days a week.
  • Utilize five or six hours of the day to collaborate on research with the Network Reconnaissance Lab or other labs at UK.

Faculty are encouraged:

  • Submit a two-page project proposal related to ML. If your project is selected, 2-4 of the AMLI students will be assigned to your project during the last 4-5 weeks of the program. The students will apply their newfound ML skills to your proposed project.
  • Faculty leading a project will mentor students as well as have them interact with their research lab.  
  • Faculty are encouraged to apply for NSF REU funds to support stipends for the students on their project. 

Undergraduates, Graduate Students, and Faculty should apply here.