Job Opportunities

Positions associated with The PRIISM Center

Open Positions at The PRIISM Center

Assistant/Associate Professor of Applied Statistics, New York University

NYU Steinhardt School of Culture, Education, and Human Development’s Center for Promotion of Research Involving Innovative Statistical Methodology (PRIISM) and the New York University Center for Data Science invite applications for a tenure-track/tenured Assistant/Associate Professor of Applied Statistics.  This is a joint position between the Steinhardt School Department of Applied Statistics, Social Science, and Humanities (ASH) and the Center for Data Science (CDS).  Over half of ASH faculty are applied statisticians, economists, and quantitative social scientists.  The appointment begins September 2017.

NYU Steinhardt has one-of-a-kind integration of education, communication, health, and the arts, with eleven departments, seventeen research centers and institutes, 292 full-time faculty, and close to six thousand students. PRIISM is an applied statistics center dedicated to improving the caliber of research in quantitative social, educational, behavioral, allied health, and policy science, both School- and University-wide.  The Center for Data Science is advancing NYU’s goal of creating the country’s leading data science training and research facilities and arming researchers and professionals with tools to harness the power of big data.  We are committed to substantially increasing the proportion of our faculty from historically underrepresented groups as we strive to create the most intellectually diverse, inclusive, and equitable institution that we can.

Position Description: Candidates should have a keen interest in both developing/evaluating new methods and applying methods in collaborative work with faculty and graduate students in areas represented by the PRIISM Center and the Center for Data Science, as well as with faculty and graduate students in other parts of the University whose interests intersect with these Centers. The successful candidate will have expertise in computational statistics or statistics at the intersection with machine learning, and methods relevant to the social, behavioral, health, or education sciences; strong teaching and communication skills in the classroom and in presenting research findings to lay audiences; proven research track record, including obtaining external funding for research or training.

Responsibilities: Conduct research, develop and/or maintain an independent research program, seek external funding, and mentor student research; synergistic collaborations across both Centers are encouraged; teach and advise undergraduate and graduate students in both Centers; participate in faculty meetings, serve on committees and provide other service to the University.

Qualifications:  Doctoral degree in Statistics or related area; demonstrated record of published, peer­reviewed research and demonstrated or strong potential for developing an externally­funded, nationally recognized research program.

NYU's dynamic Global Network University includes NYU Abu Dhabi, NYU Shanghai, and international programs and academic centers around the world. NYU Steinhardt faculty may have the opportunity to engage in research and teaching at these global study and research sites.

Applications:  Candidates should apply online by submitting a letter of interest, curriculum vitae, three samples of scholarly writing, and three letters of recommendation at the following link:

Review of applications will begin immediately and will continue until the position is filled.  For best consideration, materials should be submitted by no later than December 1, 2016. Additional information about the position can be obtained from Professor Marc Scott, Chair of Search Committee, at

NYU is an EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer.


The Center for the Promotion of Research Involving Innovative Statistical Methodology (PRIISM) at the Steinhardt School for Culture, Education, and Human Development at New York University and the Applied Statistics Center at Columbia University are hiring two postdoctoral fellows for two years beginning with the 2015-16 academic year. Preferred start date is July 1, 2015.

The Q-TRAIN Vision

Changes in the depth and rigor of education research have led to increased demand for scholars with quantitative expertise. The goal of the new NYU/Columbia Quantitative Training Program, Q-TRAIN, funded by an Institute of Education Sciences (IES) Postdoctoral Training Grant, is to address this need by training 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 Columbia University engaged in education-related research. 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 customized for education research faculty and their students or assisting in the instruction of a consulting course for a similar clientele.  Direct opportunities for consulting may occur in formal and informal meetings with research center directors and their senior research staff.

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 

Qualifications: We are seeking highly qualified applicants who have either earned a doctorate degree in statistics or a doctoral degree with a strong quantitative focus in education or the social, behavioral, or health sciences.  As per federal government regulations, candidates must be United States citizens or permanent residents.  Applicants must have received their doctoral degree by the start date.

To Apply: 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:

Click to apply for the Q-Train Post-Doc Fellowship

Please direct  substantive inquiries to Prof. Jennifer Hill at

New York University and Columbia University are both equal opportunity employers committed to excellence through diversity and strongly encourage applications from all qualified applicants, including women and minorities.