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NEON Undergraduate Internship Programs in Science and Engineering


Click Here to Learn More and Apply! 


Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior

Description:
NEON is offering summer internship programs for undergraduate students from populations that are underrepresented in science, engineering, and computer science. The internship programs are designed to provide real-world work experience in ecology, computing, and engineering. Interns work at NEON HQ in Boulder, CO, from late May to early August. The programs provide travel to and from Boulder, CO, housing, and a competitive salary.

During the summer, students work closely with a science or engineering mentor on their internship project. Internship opportunities in engineering, computing, aquatic ecology, terrestrial ecology and airborne operations are available. In addition to the mentors, interns have the support of a strong peer group and the NEON staff.

Eligibility: Applicants should be legally able to work in the U.S. Accepted students are generally rising juniors or rising seniors. Applicants should have at least one semester remaining after this coming summer. A GPA of 3.0 is generally desirable. Descriptions of specific internship requirements are posted on the NEON website on the How To Apply page.

NOTE: for students on quarter system, start & end dates may be negotiated.


Participating Institution(s):
(Click an institution to see all programs it hosts)
National Ecological Observatory Network (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Bioinformatics & Genomics
Computational Sciences
Computer Sciences
Sensor Science & Engineering
Spatial/Geographic Information Systems

Keywords:
Big Data Science
Biodiversity
Bioinformatics
Cyber Infrastructure
Data Assimilation
Ecosystem Science
Land Use Patterns
Remote Sensing

Learn More and Apply!

This program is funded by:
National Science Foundation (NSF)


Page last updated 11/7/2017
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