Positions associated with The PRIISM Center
Data Science Evaluator
New York University, in collaboration with U.C. Berkeley and U. Washington, has launched a new five-year, $37.8 million initiative to enable university researchers harness the full potential of the data-rich world that pervades all fields of science and discovery. This partnership, funded by the Gordon and Betty Moore Foundation and Alfred P. Sloan Foundation, will spur collaborations within and across the three campuses and other partners pursuing similar goals for data-intensive science.
We are looking for a talented researchers with strong quantitative and computational skills who are interested in evaluation and understanding the development of a new academic culture at the frontier of data science. Candidates will help ascertain whether the Data Science initiatives are leading to the desired goals. Candidates will work with like-minded and very talented students, faculty, and research scientists to help transform the way we perform and integrate data science into the life and science of the university.
Responsibilities: Help to identify relevant research questions and participate in design, data collection, and data analysis relevant to evaluation of Data Science activities. Participate in writing of reports and research articles as well as preparation and presentation of findings for different types of audiences.
The initial appointment will last for two years, with expected renewals under a rolling contract. Funding for these positions from the Moore-Sloan Foundations is for five years. However, as part of NYU’s long-term commitment to data science, we are seeking avenues to make the position permanent.
Applicants should send a resume or curriculum vitae, a brief statement of interests and relevant experience (no longer than 2 pages) to firstname.lastname@example.org with a clear subject line reference to “Data Science Evaluation Position”. You must also arrange to have three letters of recommendation sent to us. More information about CDS can be found at http://cds.nyu.edu/. For more information about the position you may email email@example.com.
NYU strongly encourages applications from women and members of minority groups and is committed to building a culturally diverse educational environment.
Review of applications will begin April 15, 2014. We will continue to consider new applications until the position is filled.
Open Positions at The PRIISM Center
Postdoctoral Fellow POSITIONS FILLED FOR 2013-2015 COHORT. CHECK THIS PAGE IN FALL 2014 FOR INFORMATION ABOUT RECRUITING FOR THE 2015-2017 COHORT.
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 firstname.lastname@example.org.
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