PRIISM and Applied Statistics Center at Columbia University are home to a new IES Postdoctoral Training Program 

Training Program Overview 

Changes in the depth and rigor of education research have led to increased demand for quantitative expertise. The goal of the NYU/Columbia Quantitative Training Program, Q-TRAIN, is to address this need by training four postdoctoral fellows both to develop the new statistical methods required to meet future research challenges and to effectively train and consult with other education researchers.

The training program will have four major components:

  1. Research
  2. Skill/knowledge acquisition
  3. Training and Consulting, and 
  4. Career development.

Fellows will fulfill the first component by participating in methodologically-focused research projects with a faculty mentor and engaging in more applied research projects with other faculty at NYU Steinhardt or Teacher’s College (for more information click here). They can also gain skills and knowledge through more formal avenues by auditing classes or short courses and participating in weekly seminars. Fellows will have the opportunity to practice teaching statistics to and consulting with applied education researchers through activities such as developing and presenting short courses for faculty and students who participate in education research or helping to teach a consulting course for graduate students.

Mentors will provide support for career development by supervising and providing feedback on their training activities and providing workshops on topics such as ethics, writing, and interactions with researchers outside the university setting. Fellows will also gain experience participating in the grant submission process as part of a team as well as developing their own grant proposals.


Primary mentors for the program are:

Jennifer Hill
Associate Professor of Applied Statistics 
NYU Steinhardt

Marc Scott
Associate Professor of Applied Statistics
NYU Steinhardt

Andrew Gelman
Professor of Statistics
Columbia University 

Eligibility and Program Structure

We are seeking highly qualified applicants who have either earned a doctorate degree in statistics or a doctoral degree in the social, behavioral, or health sciences mathematics education with a strong quantitative focus.  As per federal government regulations, candidates must be United States citizens or permanent residents. The program will provide up to four 2-year fellowships. Two Fellows will participate from 2013-2015 and two will participate from 2015-2017.  

For best consideration applications must be submitted before December 10, 2014. A letter of interest, curriculum vitae, three references and two publications or papers should be submitted online.

To apply, visit: Application