Internship with Natural Areas Conservancy

Natural Areas Conservancy (NAC)

Paid Summer Internship Announcement

Job Title: Summer 2017 Ecological Assessment Paid Internships

Job Location: Graduate Positions and Undergraduate Positions available with reporting locations in New York City (Manhattan, Queens, the Bronx, and Brooklyn)

Duration: 8-12 weeks, 35 hours/week, during June 4 – August 24, 2017

              

Internship:

The Natural Areas Conservancy (NAC) will lead an ecological assessment of the natural resources of NYC Parks. Student interns will be trained and will work under the supervision of NAC ecologists. All interns will collect vegetation and site condition data in forests, wetlands, and grasslands. This position is approximately 90% field work (outdoors) and 10% office work.

Main tasks include:

  • Report promptly and directly to field sites and work as part of a team of three interns conducting ecological site assessments as directed
  • Accurately locate assessment plots using Trimble GPS on foot and carrying 30 lbs. packs
  • Accurately collect data such as understory plant species identification, percent cover vegetation, woody species identification, tree diameter, tree height, tree canopy health, coarse woody debris, human use and impacts and additional site attributes according to assessment protocols
  • Document, download, and edit field data daily or as needed on computer data recorders or paper datasheets
  • Assist in data entry as needed

To apply send:

  1. Statement of interest & career goals (SICG). Please indicate the Borough(s) in which you are willing to work.
  2. Resume (R)
  3. Copy of unofficial transcripts (UOT)

To: Helen.forgione@parks.nyc.gov

All applications must be submitted prior to 11:59 p.m. Eastern Time on: April 7, 2017

Please send all materials electronically as PDF files with each labeled follows:

  1. 2017_last name_first init._SICG (i.e. ‘2017_Jones_J_SICG.pdf’);
  2. 2017_last name, first init_R (i.e. ‘2017_Jones_J_R.pdf’);
  3. 2017_last name, first init_UOT (i.e. ‘2017_Jones_J_UOT.pdf’)

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