JOB TITLE: NSF RET Fellows
Review of application starts now until the post is filled.
Job description: The NSF Spatiotemporal Innovation Center (STC) is advertising a fellow opportunity for in-service or pre-service K-12 teachers. The fellow will participate in a spatiotemporal innovation project funded by the NSF Research Experience for Teachers (RET) program. STC, a collaboration between George Mason University (GMU), University of California-Santa Barbara (UCSB) and Harvard, conducts STEM research and development with partners in academia, state and federal agencies, industry, and non-governmental organizations. This RET fellow opportunity supports K-12 teachers, specifically in-service or pre-service high school teachers, to participate in spatiotemporal research at GMU. Outcomes of this RET program will provide participants with novel STEM-based lesson plans and State of the Art classroom activities.
The participant will join our research team at George Mason and will work in residence until the end of July 2019 (contingent to budget). During the first two weeks, the participant will get introduced to the latest advances in spatiotemporal research. The participant will meet with center members to discuss their research and how this research relates to national education standards. The initial two weeks will allow the participant to understand the importance of spatiotemporal research and how it alters everyday decision making. In a second phase, the participant will get familiar with the acknowledge about the practical research conducted in the center, the participant will develop lesson plans that are closely associated with national education standards. The participants will also have access to activities in the Aspiring Scientists Summer Internship Program, an educational opportunity for high school and undergraduate students. The third phase will include implementing the lesson plan into the class curriculum. RET participant will be encouraged to introduce their new lesson plans in a classroom setting during the academic school year, or publish the outcomes of this research experience in an educational journal.
The NSF RET Fellow will receive travel support to a professional conference (e.g. the 2019 Annual Meeting of the Association of American Geographers or the 2019 Annual Meeting of the National Council for Geographic Education) to present the outcomes of this RET fellowship. Participants are also encouraged to publish the outcomes of this research experience in an educational journal.
For more information about NSF RET program, please visit http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5736
For more information about STC, please visit http://www.stcenter.net
Funding up to $10K will be provided to cover stipend and travel. Hourly wage ranges from $15 to $20 per hour depending on the candidate’s experience. Maximum 20 hours per week.
- Applicants must be in-service or pre-service K-12 teachers.
- Applicants must be U.S. citizens, U.S. nationals, or permanent residents of the United States.
- Applicants should be able to work at GMU. The start date and end date is flexible.
- We encourage applications from underrepresented groups, such as women, Native-Americans, African-Americans, Hispanics, Veterans, and students with disabilities.
A complete application includes:
- A resume
- One-page statement of interest.
- Contacts (email and phone #) of two referees.
There will be three steps for selecting the students: 1) Site directors will collaboratively select a pool of promising applicants. 2) Faculty members will select relevant student who matches their interest. 3) A phone interview will be arranged with the selected candidates to consider the teacher’s skills in communication, team work, and topic interest.
Please send the application to Penny Peng (firstname.lastname@example.org). The review of applications will start now until the position is filled up.
George Mason University is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration as follows without regard to race, color, religion, sex, national origin, disability, age or protected veteran status.