Georgia Tech and Emory University in Atlanta, GA invite you to apply to become a Fellow in our NIH/NIBIB Computational Neural Engineering Training Program (CNTP). Fellow applications are solicited from admitted applicants to one of the four participating PhD programs linked below (PhD in BME, ECE, Bioe or ML). If you are interested in joining the CNTP, you must first apply to one of those programs. The deadlines vary by program, and with the earliest deadline being December 1, 2023. Note that the CNTP program does not make admissions decisions directly. Admissions are handled independently by a committee for each degree program.

Students with aligned research interests that are offered admission by one of these PhD programs will be contacted separately with an invitation to apply for CNTP fellowship funding. Adding “I am interested in the Computational Neural Engineering Training Program (CNTP)” to your personal statement will help ensure your application is routed to us. Additionally, filling out this interest form can help ensure we find your application: https://forms.gle/Nq8kqhyFZQiQMpA86

Please contact Dr. Rozell at crozell@gatech.edu with any questions.

Participating PhD programs

PhD in Biomedical Engineering at GT/Emory (deadline 12/1/2023)
https://bme.gatech.edu/bme/georgia-tech-emory-bme-phd-program

PhD in Electrical & Computer Engineering at GT (deadline 12/16/2023)
https://www.ece.gatech.edu/graduate-admissions

PhD in Bioengineering at GT with BME or ECE home school (deadline is from home school)
https://bioengineering.gatech.edu/

PhD in Machine Learning at GT with BME or ECE home school (deadline is from home school)
http://ml.gatech.edu/phd

Graduate program application assistance

Georgia Tech/Emory invite you to apply to become a Fellow in our NIH/NIBIB Computational Neural Engineering Training Program (CNTP)! Current CNTP trainees are offering graduate application assistance to provide feedback on essays and give guidance on potentially relevant faculty. You can request assistance by filling out the form below before November 22, 2023: Graduate Application Feedback Form