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Job ID: 140314

Survey Methodology Graduate Summer Internship with NSF

Date Posted Mar. 18, 2020
Title Survey Methodology Graduate Summer Internship with NSF
University Varies
Alexandria, VA, United States
Department National Science Foundation
Application Deadline Apr. 2, 2020
Position Start Date May/June 2020
  • Graduate Student
  • Public Policy & Administration
    Psychology - Behavior Analysis
    Psychology - General
    Social Sciences - General

Why should I apply? As an intern with the National Center for Science and Engineering Statistics (NCSES) in their Statistics and Methods Program (SMP), you will have the opportunity to explore a federal career and gain a competitive edge as you apply your education, talent and skills in a variety of settings.

What will I be doing? You will be collaborating on an original project alongside expert, questionnaire design methodologists to develop documentation on best practices and quality checklists, conduct literature and background reviews on substantive and methodological topics, assess the quality of existing data collection instruments, assist with questionnaire development, participate in questionnaire pretesting activities, and develop a contact protocol strategy for new and redesigned data collections.

What are the benefits? As a participant with NSF, you will receive a competitive stipend. You may also be eligible to receive health insurance allowance and reimbursement for relocation expenses.

When do I start? Exact start dates will be determined at the time of selection and in coordination with the selected candidates. Internships are expected to be 12-14 weeks starting in late May 2020 and ending in August 2020.

Internships will be with the Statistics and Methods Program (SMP) in the National Center for Science and Engineering Statistics (NCSES). NCSES provides policy makers and the public high-quality information on the science and engineering enterprise. NCSES SMP provides statistical and survey methodological support to NCSES with an emphasis on ensuring the highest quality data collection designs and statistical output.

For more information, eligibility requirements, and to apply, visit:…

  • The participant will not enter into an employee/employer relationship with ORISE, ORAU, NSF, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

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