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Paid Data Interns

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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
Graduate Students (Masters)

Note: this opportunity encourages applications from community college students.

We look forward to sharing this learning experience with you! Here at Cary, we are dedicated to advancing the science needed to better understand and manage the ecosystems that support all people. We know that diverse perspectives and voices, across all segments of our community, strengthen our organization and our science. If you share this conviction, please read on.

Two positions are open:

1.-This intern will support data tasks related to the automated classification of eucalypt flowering from aerial imagery (satellite images). This will require some previous experience with R programming and an interest in learning working with spatial data and machine learning. (~June 1- TBD)

2.-This intern will support data management and data sharing efforts. This will require some previous experience with R programming, Github, some familiarity with data organization and cleaning processes and a general awareness of data repositories. (<40 hours total)

These are Remote Internship opportunities.


These are a few learning outcomes, they vary by project and previous experience:

-learn how to effectively clean and organize data for analysis

-learn analytics best practices for reproducible data science

-gain experience working with R and other computational tools & software

-gain experience working with spatial data

-gain experience applying machine learning to biological/ecological datasets

-learn how to publish data

Conpensation: Both internships described here are paid.

Participating Institution(s):
(Click an institution to see all programs it hosts)
Cary Institute of Ecosystem Studies (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Computational Sciences
Computer Sciences
Conservation Biology & Wildlife
Ecology & Evolution
Environmental Sciences
Spatial/Geographic Information Systems
STEM Fields

Complex Data Sets
Data Analysis
Data Science
Insect Ecology and Evolution
Machine Vision & Learning

Learn More and Apply!

Page last updated 8/22/2022
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