[Geog_Jobs] Undergraduate Research Fellow at NSF Spatiotemporal Innovation Center - summer 2022

[Sinha, Gaurav]

NSF REU Fellow Opportunity
7-11 weeks from May to September 2022
The NSF Spatiotemporal Innovation Center (STC) is looking for several undergraduate research assistants to serve as NSF REU Fellows from May to September 2022. They will potentially work at the George Mason University site (Fairfax, VA) or the Harvard University site (Cambridge, MA), depending on funding availability from NSF. In compliance with social distancing guidelines of the two universities during the COVID-19 pandemic, the selected REUs may work remotely from other locations within the USA.
This opportunity is supported by the National Science Foundation (NSF) I/UCRC and Research Experiences for Undergraduates (REU) Programs, which enable undergraduate students to obtain research experience and consider a career path in spatiotemporal domains (e.g., CS, GIS, Geosciences, etc.). NSF REU fellows will work in a team with graduate students, postdocs, research staff and faculty at one of the center sites and will conduct research related to spatiotemporal issues. NSF REU fellows also have the opportunity to attend a professional conference to present their research results. Fellows may participate in a variety of research projects.
Requirements:

  *   Applicants must be currently enrolled undergraduate students.
  *   U.S. citizen or permanent resident status is required.
  *   Applicants should be able to work as NSF REU fellows for at least 7 consecutive weeks. Starting date is flexible.
  *   NSF REU fellows will receive stipend and reimbursement for attending one conference related to the research project.
  *   We encourage applications from underrepresented groups, such as women, Native-Americans, African-Americans, Hispanics, Veterans, and students with disabilities.

A complete application includes:

  *   CV
  *   Statement of interest (~200 words)
  *   Contacts (email and phone #) of two referees

Selection process:
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 the relevant applicants who match their interest from the pool.
  3.  A videoconference interview will be arranged with the selected candidates to evaluate the applicant's background and skills in communication, teamwork, and research interest.

Interested students please email your application to Dr. Qian Liu (qliu6 @ masonlive.gmu.edu) and Dr. Wendy Guan (wguan @ cga.harvard.edu). The review of applications will start in early April of 2022, and end until the positions are filled. Please contact Dr. Chaowei Yang (cyang3 @ gmu.edu) or Dr. Wendy Guan with questions about the NSF REU Summer Fellows in Geographic Information Science program at George Mason University or Harvard University, respectively. We look forward to receiving your applications.
Note: The length of the REU term will depend on the pandemic situation this summer. We will follow each university's guidelines for on-site or remote work arrangements when the time comes. If on-site is possible, the program will be a 7-week term, while if remote work is necessary, it will be a 11-week term. Details will be discussed with the selected candidates during or after the interviews.
George Mason University and Harvard University are equal opportunity/affirmative action employers. All qualified applicants will receive consideration as NSF REU follows without regard to race, color, religion, sex, national origin, disability, age or protected veteran status.

________________________________________________________
Wendy Guan, Ph.D.                             1737 Cambridge Street, K022
Executive Director                                Cambridge, MA 02138
Center for Geographic Analysis            617-496-6102 (office)
Harvard University                               617-496-5149 (fax)
http://gis.harvard.edu [gis.harvard.edu]<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense.com%2Fv3%2F__http%3A%2F%2Fgis.harvard.edu%2F__%3B!!CKZwjTOV!huqcpK12PesPSDoxZ80sdGTbGkN6DKlJN-Wy6n6LpkJRbOQ2PkRk2apC6eFOyhdtyTi1rA%24&data=04%7C01%7Cgeog_jobs%40listserv.ohio.edu%7Cda2f8b6b21574f77fe7b08da1e48b557%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637855594866171684%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&sdata=NhOnlIDmfA1Z3k2LSZKHSejuAxJEDYTIgdrPesL2OcA%3D&reserved=0>                           wguan at cga.harvard.edu<mailto:wguan at cga.harvard.edu>


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