The AI fellowship is awarded to qualified MS and Ph.D. students. Students follow the regular graduate school application process, there is no separate application for the fellowship. The fellowship candidates are nominated by the faculty and recipients are determined by a written exam and an in-person interview. The fellowship exam is a take-home exam testing basic math (probability, linear algebra) and programming skills. 

The fellowship offers the following benefits starting from April 2023:

  • Scholarship: 11200 TL/mo for MS, 18600 TL/mo for Ph.D. students.
  • Performance raise: Scholarship raise after a qualified publication as the first author: 1000 TL/mo for MS, 1500 TL/mo for Ph.D., to be re-evaluated every semester.
  • Travel grant: full support for the first conference to be determined by the advisor and full support for subsequent top-tier conference publications.
  • Computation grant: a laptop, full access to Koç University High-Performance Computing cluster, and cloud support as needed.
  • All students receive private health insurance and subsidy for meals.
  • GSSE Rules and Regulations apply for anything not specified in this document.

 

Frequently asked questions:

  • Who can apply?
    • Applicants from any department with a strong background in math and computing who want to study AI can apply.
  • How to apply?
    • New applicants should complete the standard application process for GSSE and specify an AI related field of study. Additional evaluation tasks (tests, projects) may be required for fellowship admission based on the applicant’s background.
  • Can students with other sources of income (e.g. projects) and existing graduate students apply?
    • Yes, the fellowship can provide additional income to be determined on a case by case basis.
  • Can the fellowship be terminated?
    • The continuation of the fellowship will be re-evaluated if:
      • GPA is below 2.7 for two semesters.
      • Research grade is unsatisfactory for two semesters.
      • The student does not complete the degree within the standard duration: 4 semesters for MS, 8 semesters for PhD after MS, 10 semesters for PhD after BS.