How to Apply

Applications are closed for the current cycle. Please watch for announcements in spring 2023 for the next round of applications.

Interested students should submit their applications in response to the request for proposal. Please contact Joseph Reese for further information. 

Joseph Reese

Professor of Biochemistry and Molecular Biology

The Eukaryotic Gene Regulation (EGR) Predoctoral Training Program is directed by Dr. Joe Reese and supported by the NRSA Institutional Predoctoral Training Program (T32) in Cellular, Biochemical and Molecular Sciences Predoctoral Program by National Institute of General Medicine (NIGMS) with matching funds provided by Penn State. Interested students from PSU biomedical, quantitative and computational sciences graduate programs can apply for participation in the training.

EGR’s mission is to train future generations of scientists in both experimental and computational approaches to address fundamental questions in eukaryotic gene regulation. The main objectives are to provide (i) rigorous understanding of the scientific process; (ii) mastery of experimental and computational methods in EGR; (iii) excellence in oral and written science communication; (iv) development of an ethical framework for research; and (v) team leadership in scientific projects.

NIH T32 Eligibility and Funding

Applications are invited from Penn State graduate students within year one for admission to the EGR predoctoral training program. Funded positions may require supplementation of stipend and tuition funds from the PI depending on the college and department affiliation of the applicant or be subject to funding constraints stipulated by participating Penn State colleges and the Huck Institutes of the Life Sciences.

NIH funding is not a requirement for participating in the training program and its many activities. Only about half of the trainees in the program have received NIH support. Unfunded domestic and international trainees can participate in the many training and career development activities associated with the training grant. For 2022-2023, we are unable to fund international students, but please look for these funding opportunities in the future. Questions about eligibility and the application process can be directed to Joe Reese (

Training activities begin in the summer, and funding begins in the fall semester after selection. Selected trainees will be supported for a period of one or two years as a part of their doctoral programs. Continued funding for the second year is subject to satisfactory progress in the first year and availability of funds. Trainee expectations can be found here.

NIH T32 Application Process

Interested individuals should submit a personal statement including background, experience and interest (2 pages), a list of courses taken, a curriculum vitae and two supporting letters. One letter should be from the research advisor, which should include a commitment towards participation in EGR training activities including, but not limited to the following: (i) yearly Responsible Conduct of Research class discussion; (ii) teaching Data Reproducibility and Transparency in graduate courses; (iii) CEGR Megameetings and annual retreats; (iv) mentor training activities; and (v) diversity recruitment and mentoring. The second letter should be from an individual who can address the applicant’s interest in the EGR program and how the training will enhance the applicant’s program of study.

A personal interview for qualified applicants will be conducted in May by the trainee selection committee. 

Summary of Application Materials

  • Student statement of background, experience and interest (2 pages)
  • Current graduate transcript (unofficial)
  • CV (1 to 2 pages)
  • Advisor letter of support (including commitment of participation in EGR as noted above)
  • EGR Mentor letter of support

Personal statement, transcript, and CV should be submitted as a single pdf by the applicant, using the form below.

Letters of support should be submitted electronically to Jean Pierce ( Please include the trainee’s name in the file name.