Coastal Ocean Modeler: Plastic Pollution Analytics

The Ocean Cleanup Technologies B.V.; Rotterdam; Hybrid; EUR 55,000 - 75,000; Full time

Job summary

The Ocean Cleanup Technologies B.V. in Rotterdam seeks a researcher to implement and refine numerical Lagrangian particle tracking models for coastal plastic dispersion. You will work with high-resolution ocean data, design source scenarios, and guide field campaigns based on model results.

We value Python/R/Matlab scripting, GIS, and cloud computing. You will contribute to reports and manuscripts and present findings at international conferences.

Qualifications

• Masters or PhD in environmental sciences or related field.
• At least two years of numerical modelling experience (ROMS, CROCO, NEMO, Delft3D) and particle dispersal modelling (Parcels).
• Knowledge of coastal and hydrodynamic processes.
• Proficiency with Python, R or Matlab for scripting and data analysis.
• GIS proficiency and experience with cloud computing (AWS) and Git.

Responsibilities

• Implement numerical Lagrangian particle tracking models for coastal plastic dispersion.
• Source high-resolution ocean circulation data for coastal domains.
• Design site-specific source scenarios for land and maritime emissions.
• Guide field campaigns based on modelling results.
• Refine modelling processes for coastal fate such as beaching and degradation.
• Create reports for impact monitoring and peer‑reviewed manuscripts.
• Produce data visualizations to support field scientists and stakeholders.
• Attend international scientific conferences and contribute to publications.

Skills

Python

R

Matlab

GIS

AWS

Git

Education

Masters or PhD in environmental sciences or related

Tools

ROMS

CROCO

NEMO

Delft3D

Parcels

Job description

The Ocean Cleanup Technologies B.V. in Rotterdam seeks a researcher to implement and refine numerical Lagrangian particle tracking models for coastal plastic dispersion. You will work with high-resolution ocean data, design source scenarios, and guide field campaigns based on model results.

We value Python/R/Matlab scripting, GIS, and cloud computing. You will contribute to reports and manuscripts and present findings at international conferences.