The Physics of Sinking Ocean Particles

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

Particles of organic matter formed by life in the surface ocean do not stay at the ocean surface forever. Their gravitational settling to the deep ocean acts to regulate Earth’s climate, but the nature of that process involves complex interactions between particles of different types and sizes and these particle interactions remain poorly understood. Small particles sink slowly, but when they collide and stick together, they form larger pieces that sink much faster. These larger pieces can also break apart into smaller fragments through turbulence or grazing by marine organisms, slowing their sinking speed. How quickly particles grow or break apart strongly influences how much carbon reaches the deep ocean, but many existing models either simplify these processes or leave them out entirely

This project will extend a mechanistic model of sinking particles by adding mathematical representations of collisions and breakage. The student will build and test rate equations, explore how particle sizes change over time, and study how these processes alter carbon transport with depth. No background in oceanography is required; the focus is on solving a physical modeling problem using equations and numerical simulation. The project is well suited for students interested in differential equations, particle dynamics, or computational modeling in physics or applied mathematics.

Student's role and responsibilities

The student will extend an existing particle flux model by adding simple mathematical terms that represent particle collisions and breakage. A key responsibility will be developing and testing rate equations that describe how particles combine into larger pieces or fragment into smaller ones. The student will run numerical simulations, compare how different assumptions affect particle sizes and sinking rates, and visualize results through depth profiles, time series, and particle size distributions. Findings will be summarized in clear figures and short written explanations, with the potential for a student-authored presentation or publication.

Internship / project learning objectives

The intern will learn how to build and modify mathematical models that describe physical processes in the ocean. They will gain experience writing and testing rate equations, implementing them in code, and running numerical experiments. The student will practice visualizing simulation output and quantify how changes in particle collisions and breakage affect carbon transport to the deep ocean. Throughout the project, the intern will further develop communication skills by explaining their results through figures, short written summaries, and discussions with mentors.

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

Background in physics and/or differential equations required. Some exposure to ocean or Earth science beneficial.

Technical skills

Proficiency in a programming language (e.g. R, Python, Matlab) is essential.

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

1

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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