Programmer in Geospatial Environmental Modeling (Research, Copenhagen)

Job summary

This full-time programmer role focuses on implementing the Pangea-USEtoxGeo model to evaluate the environmental and human health impacts of chemicals on a global scale. The position is part of a collaborative project aimed at enhancing understanding of chemical impacts on ecosystems and human health.

Qualifications

• Master's degree in programming, data science, applied mathematics, computational methods, environmental or health informatics, or a related scientific field.
• Experience in Python coding, particularly with scientific libraries (Numpy, Scipy) and graph data structures.
• Strong problem-solving skills and independent algorithmic thinking, with or without AI tools.
• Familiarity with numerical methods for solving partial differential equations in three dimensions.
• Basic knowledge of chemistry and mass balance relations, or a willingness to learn.
• Optional experience with GIS in Python, databases, web development, and environmental modeling.
• Strong scientific skills, project management abilities, and effective communication in English.

Responsibilities

• Understand and implement the USEtoxGEO modeling framework.
• Integrate Environmental Process Models into USEtoxGeo, linking them to spatial datasets of soil, air, and watersheds.
• Program solutions for large sparse differential equation systems to predict concentration increases in modeling cells.
• Connect resulting concentrations to human and ecosystem exposures and effects.
• Develop geospatial interfaces for user input, grid creation, and result interpretation.
• Test the model using various emission datasets, including pesticides and organic pollutants.
• Prepare documentation and publications detailing the model's development and findings.

Skills

• Proficiency in Python and scientific computing libraries.
• Experience with numerical methods and differential equations.
• Knowledge of GIS and environmental modeling is a plus.

Education

• Master's degree in a relevant field.

Tools

• Python, Numpy, Scipy, GIS software, and relevant modeling frameworks.