Open Positions at The PRIISM Center
- No Current Openings
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 2013-14 academic year. Preferred start date is July 1, 2013.
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:
- Skill/knowledge acquisition
- Training and Consulting, and
- 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 November 15, 2012. A letter of interest, curriculum vitae, three references and two publications or papers should be submitted online:
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.
Student Job Opportunities
Data Analyst Position Announcement
The Steinhardt Institute of Higher Education Policy is searching for 2 graduate students to serve as part-time data analysts (approximately 15 hours per week) to assist with multiple research studies on immigrant origin and AAPI students attending community college. Analysts will assist in our research on the ways in which institutional practices and policies impact access to and success in college. Their specific duties will include cleaning, managing, manipulating, analyzing data and reporting results.
- Clean data and prepare datasets for analysis using STATA
- Identify problematic areas and conduct research to determine the best course of action to correct the data
- Identify, analyze, and interpret trends or patterns in complex data sets
- In collaboration with others, interpret data and develop recommendations based on findings
- Develop graphs, reports, and presentations of project results
- Perform statistical analyses for projects and reports
- Advanced Masters or Doctoral student
- Proficiency in STATA and Excel
- Knowledge and/or interest in higher education with traditionally underserved populations
- Ability to present complex information in an understandable and compelling manner
- Intermediate to advanced statistics, in particular econometrics
- Experience working with large datasets
- Experience with multilevel modeling desirable.
To Apply for the Research Assistant (STATA) position: If you are interested, please send a cover letter outlining your experience, CV and name and contact information for a reference that can speak to your quantitative expertise to Dr. Margary Martin at email@example.com.
Research Assistant (STATA) Position Announcement: We are looking for: a capable RA who knows STATA very well helping with my research projects. The one research project I currently need assistance is to use the NLSY79 with both the mother and the child supplemental files. I have used this data on papers examining parental work and child well-being, paying attention to mediators and moderators over the past 20 years, so I know the data well. I now need a RA to help me update the dataset to the most recent released data point. I have the programs which were put together by my former RA back when I was at Columbia, so the backbone of the STATA programming is there, but I need the RA to do the updating for me as well as perhaps running the analysis (e.g,. SEM). One thing is important is that the RA should be detailed-oriented and very patient (given it is a tedious task!)
For questions regarding the Research Assistant (STATA) position, please contact:
Wen-Jui Han, Ph.D.
Professor and Chair of Policy Curriculum
Silver School of Social Work
New York University
1 Washington Square North
New York, NY 10003