ºÃÉ«ÏÈÉúTV

Skip to main content

Utility

  • Current Students
  • Faculty & Staff
  • Alumni
  • ºÃÉ«ÏÈÉúTV

Actions Menu

  • Visit
Neuroscience Institute

Main navigation

  • About
  • Academics
  • News & Events
  • Research
  • People
  • Giving

Utility

  • Current Students
  • Faculty & Staff
  • Alumni
  • ºÃÉ«ÏÈÉúTV

Actions Menu

  • Visit

What can we help you find?

Undergraduate Research Fellowships in Computational Neuroscience

Home / Academics / Undergraduate / Undergraduate Research Fellowships In Computational Neuroscience

Undergraduate

  • Minor in Neural Computation
  • Undergraduate Research Fellowships in Computational Neuroscience
  • Summer Undergraduate Research Program in Neural Computation
    • 2025 Summer uPNC
    • 2024 Summer uPNC
    • 2021 Summer uPNC

The goal of this program is to attract a select group of students to engage in undergraduate research in the area of computational neuroscience. This program involves yearlong participation in research and requires completion of certain coursework (detailed below) before the end of the fellow’s senior year. In return, the program provides a stipend of approximately $11,000 for the year, plus the possibility of travel funds to attend meetings and workshops. Successful applicants may petition for a second year of funding.  The program is open to any student who will be enrolled at ºÃÉ«ÏÈÉúTV or Pitt for duration of the fellowship.

Faculty Nomination Required

Students cannot apply directly to this fellowship. All applications must be submitted by a faculty mentor. If you are a student interested in this program, please follow the steps below to secure a nomination.

Fellowship Application Process

Nominations will be solicited from faculty each year. Contact Steven Chase at Carnegie Mellon or Gelsy Torres-Oviedo at the University of Pittsburgh for more information. To apply to the program, fellowship applicants need to be nominated by a faculty mentor as follows:

  1. Identify a Mentor: The student contacts a potential faculty mentor to discuss and agree upon a specific research project.
  2. Student Preparation: The student prepares and sends to their prospective faculty mentor:
    • Project Description: A one-paragraph summary of the intended research.
    • Course Plan: A description of the plan to complete fellowship course requirements (listed below).
    • Academic Transcript: A current copy of the student's transcript.
    • Resume: An up-to-date CV or resume.
  3. Faculty Submission: Once the mentor approves the materials, the faculty member must email the nomination and all attached documents from Step 2 to Steven Chase and Gelsy Torres-Oviedo.

Course requirements and options

Students taking the full training program will be required to take courses in the following subject areas. All listed courses are currently taught annually or biannually.

a. Introductory Neuroscience

All students will take a course that covers basic principles of cellular and systems neuroscience.
Examples: CMU – Biology of the Brain (Bio 03-361). Pitt – Introduction to Neuroscience (Neurosci 1000).

b. Neurophysiology or Psychology

Students with a more biological focus should take a neurophysiology course whereas students whose interests are more in the realm of cognitive modeling should take a psychology course.
Examples: CMU – Introduction to Psychology (Psych 85-102). Pitt – Neurophysiology (Neurosci 1012).

c. Linear algebra

Students will take a course in linear algebra and matrix theory. Members of the training faculty feel this is an essential prerequisite for many different courses in mathematics, computer science and engineering.
Examples: CMU Matrix Algebra (Math 21-241). Pitt – Numerical Linear Algebra (Math 1080).

d. Statistics

Students will take a course in statistical methods.
Examples: CMU – Statistics for Lab Science (Stats 36-247). Pitt – Applied Statistical Methods (Stats-1000)

e. Computer science

Students will take a course covering the fundamentals of computer programming.
Examples: CMU – Intermediate/Advanced Programming (CS 15-111). Pitt – Intro to Computer Programming (CS 0007)

f. Computational Neuroscience

Students will take at least one course in the field of computational neuroscience.
Examples: CMU – Neural Computation (15-386), Computational Models of Neural Systems (15-880). Pitt – Intro to Mathematical Neuroscience (MATH 1800), Computational Neuroscience Methods (Math 3375), Mathematical Neuroscience (Math 3370).

Research requirement

In addition to working in the lab during the summer, fellows are expected to participate in the summer program and attend a series of computational neuroscience lectures with the students in the Neural Computation Summer Program.  Fellows are expected to work for 10 weeks in the summer full time, and to be in town during the entire period of the summer program.  A small shift in schedule is allowed contingent on approval of the fellow’s mentor. Continuation of a fellowship is contingent on satisfactory research progress each semester.  There are three milestones in the fellowship program: (1) A 6-page report is expected from fellows describing research progress at the end of summer. (2) In January, fellows are expected to give a presentation of their research progress to the group of fellows. (3) By May, fellows are expected to submit a 10-page paper, in J. Neuroscience format, that has received their mentor’s approval.

Contacts

Steve Chase

  • Email schase@andrew.cmu.edu
  • Address ºÃÉ«ÏÈÉúTV

Gelsy Torres-Oviedo

  • Email gelsyto@pitt.edu
  • Address University of Pittsburgh

Next Step?

Explore our academics to refine your path

5000 Forbes Avenue 
Pittsburgh, PA 15213  
(412) 268-2000

About CMU

  • Careers at ºÃÉ«ÏÈÉúTV
  • Maps, Parking & Transportation
  • Health & Safety
  • News

Academics

  • Majors
  • Graduate
  • Undergraduate Admission
  • Graduate Admission
  • International Students
  • Scholarship & Financial Aid

Our Impact

  • Centers & Institutes
  • Business Engagement
  • Global Locations
  • Work That Matters
  • Regional Impact

Top Tools

  • ºÃÉ«ÏÈÉúTV
  • Academic Calendar
  • Canvas
  • The HUB
  • Workday
Copyright © 2025 ºÃÉ«ÏÈÉúTV
  • Title IX
  • Privacy
  • Legal
</