Drivers and Biogeochemical Impacts of Atlantic Sargassum Blooms

Organization / Research Group

Deutsch Lab

Location of Internship

Princeton University

Research Topic

Climate and Environmental Science

Research Activity

Computational Modeling/Data Analysis

Deadline

January 7, 2026 2:00 pm EST

Internship / Research Project Information

Internship / Project Description

In recent years, massive blooms of seaweed have spread across the tropical Atlantic. These floating mats of Sargassum can provide food and habitat for marine life, but very large blooms may also disrupt marine ecosystems and affect coastal environments. Satellites can detect where Sargassum appears, but we still do not fully understand what caused these blooms to become so pervasive or how they influence the ocean below the surface.

This project will combine satellite maps with data from autonomous ocean observing platforms that dive through the water and record temperature, oxygen, and nutrients. The student will map where Sargassum occurs, identify ocean conditions that seem to promote blooms, and compare underwater measurements in regions with and without Sargassum. This will help reveal both the drivers of the blooms and their biogeochemical consequences for the ocean environment.

This project can support one or two students: one focusing on why the blooms form (i.e., drivers), and one focusing on their consequences (i.e., biogeochemical impacts)

Student's role and responsibilities

The student will assemble and analyze a new database combining satellite observations of Sargassum with measurements collected by ocean-observing platforms. A first key responsibility will be the careful documentation of data sources and processing steps. The student will map where and when Sargassum appears, identify ocean conditions that seem to cause blooms, and compare underwater measurements in regions with and without Sargassum. The results will be visualized through maps, depth profiles, and simple statistical comparisons. Findings will be summarized in figures and written explanations, with the potential for a student-authored presentation or publication.

Internship / project learning objectives

The intern will learn how to assemble, curate, visualize, and interpret large environmental datasets from satellites and ocean-observing platforms. They will develop or strengthen skills in scientific data analysis using tools such as MATLAB or Python. The student will gain experience exploring how ocean conditions can influence where and why Sargassum forms and what biogeochemical consequences the blooms may have. Throughout the project, the intern will practice communicating scientific ideas clearly through figures, writing, and discussion.

Faculty Sponsor(s) / Host Information

Faculty Name

Curtis Deutsch

Host Unit(s)

Geosciences (GEO) / High Meadows Environmental Institute (HMEI)

Internship Requirements

Academic background and any course prerequisites

Some exposure to ocean or Earth science beneficial.

Technical skills

Some experience working with large datasets in a programming language (e.g. R, Python, Matlab) is beneficial but not necessary.

Equipment

Student must bring a laptop.

Additional information about the internship / project
  • Student will be assigned a few papers to read prior to the start of the internship.
  • Students are responsible for securing accommodations for the duration of their internship. On-campus summer housing is typically available the first week of June until the first week of August (details to become available in Spring 2026). If the internship falls outside of on-campus housing availability, students will need to secure alternate housing.

Internship / Project Supervisor(s)

Primary supervisor

Curtis Deutsch, GEO / HMEI

Additional supervisor

Yi Liu, Postdoctoral Research Associate, HMEI

Internship Dates And Funding Information

Weekly stipend

$800

Number of positions available

2

Number of weeks

8

Tentative dates

June 1, 2026 to July 31, 2026

Application Information

Deadline

January 7, 2026 2:00 pm EST

Link

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