2020 MBARI Summer Internship Program

Open to undergraduate and graduate students and educators. The program is open to international participants but you will be required to obtain a valid work visa for the US and MBARI cannot be a sponsor for this visa.

June 8 – August 14, 2020

$600/week for 10 weeks; partial travel support may be available.
Housing costs are not included; however, MBARI will try to help arrange shared housing for all interested interns.


  • The application process is now open.
  • Applicants must submit a cover letter, curriculum vitae, three letters of recommendation, and a completed online supplemental information form
  • If letters of recommendation are being sent to us directly from the author, please ask the author to include your name in the subject line (e.g., Smith, Jane: Letter of recommendation).
  • The cover letter should include a statement of your specific research interests, complete contact information, relevant coursework, and grades received. Potential project descriptions are posted and applicants MUST indicate their project preference(s) in the cover letter.
  • Application materials (including letters of recommendation) should be emailed to intern-application@mbari.org.
  • All emails should have a subject line of “Last name, First name: Documents” (e.g., Smith, Jane: CV and cover letter).
  • All application materials, including cover letters, should be sent as attachments to the email and not in the body of the email. PDF documents are preferred, though we will accept other formats.
  • Deadline: All materials must be received by February 21, 2020 (0800 hours PST).
  • Selected candidates will be contacted by mid-March. Interns must be at least 18 years old by June 7, 2020.
  • If you do not have access to email, materials can be submitted via fax (831) 775-1620, or mailed to:
    ATTN: George Matsumoto
    7700 Sandholdt Road
    Moss Landing, CA 95039



Data repository
Data policy
What is happening in Monterey Bay today?
Central and Northern California Ocean Observing System
Chemical data
Ocean float data
Slough data
Mooring ISUS measurements
Southern Ocean Data
Mooring data
M1 Mooring Summary Data
M1 Asimet
M1 Download Info
M1 EMeter
M1 Fluorometer (CeNCOOS)
Molecular and genomics data
ESP Web Portal
Seafloor mapping
Upper ocean data
Spatial Temporal Oceanographic Query System (STOQS) Data
Image gallery
Video library
Previous seminars
David Packard Distinguished Lecturers
Research software
Video Annotation and Reference System
System Overview
Annotation Interface
Video Tape User Guide
Video File User Guide
Annotation Glossary
Query Interface
Basic User Guide
Advanced User Guide
Query Glossary
VARS Publications
Oceanographic Decision Support System
MB-System seafloor mapping software
How to Download and Install MB-System
MB-System Documentation
MB-System Announcements
MB-System Announcements (Archive)
MB-System FAQ
MB-System Discussion Lists
MB-System YouTube Tutorials
Matlab scripts: Linear regressions
Introduction to Model I and Model II linear regressions
A brief history of Model II regression analysis
Index of downloadable files
Summary of modifications
Regression rules of thumb
Results for Model I and Model II regressions
Graphs of the Model I and Model II regressions
Which regression: Model I or Model II?
Matlab scripts: Oceanographic calculations
Matlab scripts: Sound velocity
Visual Basic for Excel: Oceanographic calculations
Educational resources
MBARI Summer Internship Program
2017 Summer Interns Blog
Education and Research: Testing Hypotheses (EARTH)
EARTH workshops
2016—New Brunswick, NJ
2015—Newport, Oregon
2016 Satellite workshop—Pensacola, FL
2016 Satellite workshop—Beaufort, NC
EARTH resources
EARTH lesson plans
Lesson plans—published
Lesson plans—development
Lesson drafts—2015
Lesson drafts—2016 Pensacola
Adopt-A-Float Program
Center for Microbial Oceanography: Research and Education (C-MORE) Science Kits
Sample archive
Internship Papers (last five years)
2018 Intern papers
2017 Intern papers
2016 Intern papers ‎ ‎
2015 Intern papers ‎ ‎
2014 Intern papers