MBARI’s Summer Internship Program provides an opportunity for talented college students (undergraduate and graduate) and educators to work directly with MBARI scientists, engineers, and communicators.

MBARI’s state-of-the-art facilities and equipment, including research vessels, remotely operated vehicles (ROVs), and autonomous underwater vehicles (AUVs), offer educators and students unique opportunities to collaborate on advanced research and development projects. The program immerses interns in collaborative teams as they learn innovative research and engineering techniques and improve communication skills. Each intern will have an MBARI mentor who will supervise a specific project for a 10-week duration. Interns also serve as peer-mentors to each other. There is a stipend (2025 stipend was $22/hour) and the program is full-time. MBARI will try and assist with housing for those interns coming from out of the area. Please see How to Apply for more specific information about the application process.  

The MBARI Summer Internship Program is generously supported through a gift from the Dean and Helen Witter Family Fund and the Rentschler Family Fund in memory of former MBARI board member Frank Roberts (1920-2019) and by the David and Lucile Packard Foundation. Additional funding is provided by the Maxwell/Hanrahan Foundation.

Program Dates

June 08 – August 14, 2026

Applications for the 2026 MBARI internship will open October 2025.

How to Apply

Learn about the project opportunities and application requirements.

How to Apply

Internship Papers

Internship papers from the most recent five years.

ALL PAPERS

Project Opportunities

Guillaume Liniger
 
Antarctic polynyas productivity from BGC-Argo floats perspective: Coastal polynyas are open water area surround by sea ice. They are hotspots of high biological productivity and physical processes, driving deep water formation, overturning circulation, and could be highly impacted by the recent changes in sea-ice patterns (Hoobs et al., 2024; Doddridge et al., 2025). Due to the remote nature of these places, studying them remain extremely challenging. While satellites are powerful and allow us to depict events happening at the surface, they cannot provide insights on water columns processes. This can be partly resolved using Biogeochemical (BGC) Argo floats deployed by the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM). They provide a 3D picture and have unraveled critical changes in the most remote area of the ocean. The main objective will be to look at phytoplankton productivity in a chosen Southern Ocean polynya system, explore its relationship with seasonal drivers (light, sea-ice, nutrients) and the fate of carbon exported to the deep ocean.
This project is heavily coding oriented, so candidates should be comfortable with programming (MATLAB preferred). As part of the Carbon group, candidates will have the opportunity to learn about biogeochemical sensing capabilities on Argo floats, how to access and analyze BGC Argo data. Knowledge in oceanography is desirable, but not mandatory.
  1. Doddridge, E. W., Hobbs, W., Auger, M., Boyd, P. W., Chua, S. M., Cook, S., Corney, S., Emmerson, L., Fraser, A. D., Heil, P., Kelly, N., Lannuzel, D., Li, X., Liniger, G., Massom, R. A., Meyer, A., Reid, P., Southwell, C., Spence, P., Steketee, A., Swadling, K. M., Teder, N., Wienecke, B., Wongpan, P. & Yamazaki, K. (2025). Impacts of Antarctic Summer Sea-Ice Extremes. PNAS Nexus, Volume 4, Issue 7, pgaf164. https://doi.org/10.1093/pnasnexus/pgaf164
  2. Hobbs, W., Spence, P., Meyer, A., Schroeter, S., Fraser, A, D., Reid, P., Tian, R, T., Wang, Z., Liniger, G., Doddridge, E., & Boyd, P, W. (2024). Observational evidence for a regime shift in summer Antarctic sea ice. Journal of Climate, 37(7), 2263-2275 https://doi.org/10.1175/JCLI-D-23-0479.1

Duane Edgington

Automated classification of deep-sea and surface imagery: MBARI has a rich collection of underwater video, photographs, and micrographs, much of which has been professionally analyzed and curated, as well as ocean surface images collected by a drone. We are exploring state-of-the-art automated classification and analysis techniques. This intern will join us in this exploration, testing selected techniques against collections of videos or images to detect and classify organisms of interest to MBARI scientists. One area we are exploring is self-supervised and weakly supervised methods. A background in computer science is required; coursework or experience in machine learning and computer vision would be an ideal background.

Gene Massion

Autonomous Coastal Profiling Float: We have a broad spectrum of potential projects spanning a range of disciplines suitable for a summer intern. An overview of the project can be found at https://www.mbari.org/coastal-profiling-float/.  We are looking for an intern with some experience and a strong interest in one or more of the following topics and a particular interest in developing technology for oceanographic research applications.

1) Design and development of embedded microcontroller based systems.  The ST Microelectronics STM32 family is of particular interest.
2) Design and development of embedded C/C++ software.  Training and/or experience in rigorous software testing methodologies is of particular interest.
3) Automated test systems and web based applications using LabView.
4) Mechanical design of robotic oceanographic research equipment using Solidworks CAD tools

Steve Haddock

Biodiversity and Bioluminescence: Steve Haddock’s lab aims to characterize and monitor the diversity and behavior of gelatinous plankton (jellyfish and their kin) in the deep sea and open ocean. For an internship project, you will choose what interests you from a related set of topics. Potential subjects include: (1) Bioluminescence biochemistry and genetics; (2) Population genetics of a zooplankton group (e.g. ctenophores, pelagic snails, siphonophores); (3) Generating interactive taxonomic keys (e.g., using Xper3); (4) Deep-sea ecology from the video annotation archives (stats and R); (5) Comparative bioinformatics and transcriptome analyses. For an overview of some unanswered questions, see our review papers (bit.ly/arms-deep and bit.ly/arms-biolum)

Jim Barry and Olivia Soares Pereira

Ecology of organic-falls invertebrate communitiesOrganic falls (wood and whale falls) provide food for specialized invertebrate communities, creating island-like habitats considered hotspots of biodiversity in the deep sea. Wood blocks and bones were deployed at three depths in the Monterey Canyon to study the colonizing invertebrate communities and whether environmental variables play a role in defining them. We are looking for a summer intern to help sort these samples in the laboratory and analyze the data. The intern will be doing a lot of microscope work, and basic knowledge on invertebrate major groups are preferred but not required. The intern will also have the opportunity to be involved in other of our lab activities, including research on deep-sea corals and seamounts and potentially going to sea with the research team on one-day deep-sea research cruises.

Francisco Chavez

eDNA, otters, and kelp:

Estuaries are regions of enhanced biological dynamics and home to threatened species like sea otters. This project will explore the use of eDNA to measure the effects of Southern Sea Otter predation on estuarine communities. The intern will: Determine the species/taxonomic groups to target. 2) Determine the optimal eDNA methods (qPCR/metabarcoding). 3) Explore the spatial/temporal sampling required to acquire a holistic view of the biodiversity of estuaries and how they are changing. 4) Explore the spatial/temporal sampling required to measure the effects of Southern Sea Otter predation on estuarine communities.

Ocean optics: Our dynamic team seeks an intern interested in linking ocean optics with ocean ecosystem information gleaned from environmental DNA (eDNA). The primary focus will be integrating decade long time series of hyperspectral and eDNA data and developing relations between the color of the ocean and organisms ranging from microscopic plankton to whales. The intern will also have the opportunity to participate in the field collection of optical data, eDNA samples, and the processing of the optical data and eDNA samples onshore. 

Biodiversity: Understanding temporal changes and spatial shifts in species assemblage is key to understanding ocean health and developing management actions. Traditional biodiversity surveys, however, are costly in both time and resources and as a result do not provide the needed coverage in space and time. One of the focuses of our lab is the use of environmental DNA (eDNA) as a tool to track changes in biodiversity. eDNA can detect the presence of a wide variety of organisms from microbes to whales with just a liter of sea water and has the potential to be automated. As part of a Marine Biodiversity Observation Network (MBON) projects eDNA samples have been collected along the California coastline from a variety of environments including kelp forests, seamounts, deep sea, and coastal waters. We seek an intern to explore biodiversity shifts from these datasets. The interns will also have the opportunity to participate in the collection of samples at sea, processing of samples in the molecular lab, and developing/optimizing new assays/primers.

Akshay Hinduja and Giancarlo Troni

Multi-modal sensing:
“While advances in sonar and imaging technologies have improved our understanding of the seafloor, integrating these data streams presents new opportunities for enhancing underwater surveying systems. This project aims to develop innovative methods for underwater vehicle navigation and mapping, focusing on integrating sonar data with visual information from cameras. The primary objective is to create a novel system for registering camera imagery from smaller, maneuverable autonomous underwater vehicles (AUVs), to sonar-generated sea-floor maps made by surface vessels. This project draws parallels to the birds-eye view (BEV) problem for autonomous ground vehicles in GPS denied environments, adapting those principles to the challenges of underwater mapping and localization.
Candidates should be comfortable with programming in Python or C++. Previous experience with computer vision and machine learning projects is desirable.”

Mentors: Giovanni Testa and Monique Messié
 
Satellite data analysis of the Galápagos upwelling ecosystem: The Galápagos archipelago hosts a highly productive marine ecosystem driven by upwelling of cold, nutrient-rich waters that boost primary productivity. Our research studies the physical and biological components of this unique ecosystem. This project will analyze satellite datasets to better understand the spatial and temporal variability of upwelling dynamics and their biological consequences on phytoplankton.
We seek candidates with basic MATLAB programming skills or a strong motivation to acquire them during the internship. The intern will learn how to access and analyze satellite ocean data and apply statistical methods to answer ecological questions.

Giancarlo Troni and Sebastian Rodriguez

Scalable Marine Robotics: Ocean exploration has been widely developed thanks to marine robotics, whose platforms are currently being used on several applications, such as accurately mapping the seafloor in high-resolution and continuously tracking animals in midwater. However, these platforms are not scalable, many are still too expensive to build and operate, and access to scientists, and therefore ocean exploration and discovery, is limited due to underwater vehicle navigation among others. Potential intern projects will use current MBARI’s robotics platforms to enable scalable marine robotics navigation in complex terrain. Efforts include sensor calibration and alignment of sensor data and visual-inertial navigation based on simultaneous localization and mapping (SLAM) framework. The work will combine elements of estimation, computer vision, software development and data analysis. Candidates should have basic competence in C/C++ and Python programming. Experience with robotics will be advantageous.

Cassandra Burrier

Science Communication: This project is ideal for an intern with experience translating science and technology concepts into written and visual content for the general public. The intern will work with MBARI staff, scientists, and engineers to develop social media stories about MBARI research. Responsibilities will include creating content from MBARI’s image and video archive and producing compelling stories about our research for our website and social media outlets. We are seeking a candidate with a background in outreach and communication, preferably with interests in science and technology. Strong writing skills and social media content creation skills are required. Experience in video editing, other visual content creation (i.e., animations, infographics, illustrations), and photography is desired. Applications should include writing and multi-media content samples in addition to the other required materials.

 
Théo Picard and Monique Messié
 
Tracking the surface origin of deep sinking particles in the California Current: Station M is a long-term abyssal time series station located off the California coast that includes carbon fluxes measured at a depth of 3400m. This carbon originates from sinking organic particles produced by surface phytoplankton and zooplankton. However, due to local dynamics affecting sinking particle pathways, identifying the location of their surface origin remains challenging. In this project, the intern will explore a recent machine learning method for reconstructing the origin of sinking particles captured at Station M by training a neural network based on a set of numerical simulation experiments and applying it to real satellite observations. The analysis will help better connect the planktonic production observed at the surface with the deep fluxes measured at Station M. Applicants with experience using Python and machine learning are preferred.