Assistant Research Professor (multiple positions)
The National Institute for Early Education Research (NIEER) is a leader in research and analysis relating to early childhood education policy. NIEER provides independent research-based information to inform local, state, and national policy and practice. Faculty members conduct innovative studies and contribute to important policy discourse nationally and internationally. We invite applications for multiple positions. A detailed description of responsibilities and desired qualifications is provided below.
NIEER is a unit of the Graduate School of Education at Rutgers University--the State University of New Jersey (New Brunswick), one of the nation’s most distinguished public research universities. Additional information about NIEER can be found at nieer.org. Rutgers University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.
To apply, please send a letter of interest and curriculum vitae to email@example.com and reference the job code listed below. Review of applications will begin immediately, and the posting will remain open until the positions are filled.
The National Institute for Early Education Research (NIEER) seeks Assistant Research Professors to help inform early childhood education policy through research and policy analysis. As we seek to fill multiple positions in our team, fields of specialization are open. However, areas of high interest include measurement and assessment of young children, early childhood math and science learning and teaching, early care and education policy, and program evaluation. All candidates are expected to have strong analytical skills
Research Assistant Professor responsibilities vary according to the background of each individual joining our team but will include a mix of the following:
Supervise data collection and manage field studies. Manage large data sets for a variety of research projects including state and national studies. Develop and manage surveys. Lead and contribute to quantitative analysis, and write research reports including project deliverables and peer-reviewed publications. Write brief time-sensitive reports in response to requests from a variety of audiences. Review research and communicate relevant findings to policy makers and practitioners. Design and deliver technical assistance to state governments seeking to implement or improve early childhood programs. Lead and assist in development of new research projects, including writing grant proposals.
The positions require a doctorate in education, psychology, human development, sociology, economics, public policy, or another field of relevance to early childhood policy and practice. We also expect successful candidates to have: a strong desire to work in inter-disciplinary teams; the ability to successfully develop peer-reviewed funding proposals as principal and collaborating investigator; and, demonstrated ability to publish in top-tier peer-reviewed scholarly and professional outlets as well as to engage in the translation of research to policy and practice audiences. The positions require a strong working knowledge of research methodology. Although candidates with a strong qualitative background will be considered, some knowledge and experience with statistical procedures and programs (for example, SPSS, STATA, and SAS) is required. Proficiency with advanced statistical analysis including multi-level models and instrumental variables approaches is highly desirable. Some travel may be required.
Job Code: ARP 323
Data Collectors (multiple positions)
Applicants should be graduate students, have a BA or be upperclassman undergraduate students with a focus on child development, early childhood, psychology or related field.
Knowledgeable about child development and developmentally appropriate early childhood teaching practices (e.g. Teacher) preferred.
Experience in classroom settings and/or working with children highly preferred.
Must be available to work 2-3x per week during data collection period; days are flexible.
Must be available to attend intensive, full-day trainings that vary between 2 days and a full week.
The successful candidate is expected to demonstrate an excellent academic record (GPA should be 3.0 or better).
Must have reliable transportation.
Spanish speakers needed!
Pay is competitive and travel reimbursement is provided.
To apply please send a letter of interest, resume/curriculum vita, unofficial transcript (if currently a student), and the names of two references. Submit these to Carol Contreras, at firstname.lastname@example.org. Please include the phrase “Data Collector” in your subject line. Applications will be considered on a rolling basis. For questions, contact Milagros Nores, at email@example.com.