Coastal Flood ML & Modeling Intern

PassFort; Greater London; On-site; GBP 18,000 - 28,000; Full time

Job summary

Moody's Analytics invites applications for the Analytics and Modeling Intern - Coastal Flood in London. You will support the development and evaluation of machine learning and surrogate models to improve coastal flood risk modelling, working with Python and C++ on HPC clusters.

Explore Graph Neural Operators to reduce computation while preserving accuracy in coastal dynamics. We seek a Master’s or PhD student in Coastal Ocean Modelling or ML, able to start a 4‑month internship in March 2027.

Qualifications

• Experience working with HPC clusters in a Linux environment and using Git for version control.
• Strong programming skills in Python and C++ for scientific and analytical tasks.
• Experience with numerical models for ocean or wave modelling, or statistical modelling approaches.
• Experience handling and analysing large datasets.
• Familiarity with modern ML methods such as Graph Neural Networks (GNNs) and Fourier Neural Operators (FNOs).
• Familiarity with model performance evaluation and model inter-comparison methods.
• Strong analytical skills with ability to interpret results and communicate insights effectively.
• Proficiency in AI concepts and hands-on use of AI tools to streamline workflows and solve business challenges; awareness of AI risk management.

Responsibilities

• Support the development and evaluation of ML and surrogate models to improve coastal flood risk modelling.
• Characterize coastal flooding dynamics to identify key predictors and processes.
• Enhance existing ML models for coastal risk.
• Explore ML methods (e.g., mSWE-GNN) to improve variability and extreme dynamics.
• Compare ML models with surrogate modelling frameworks including Graph Neural Operators.
• Evaluate model performance to reduce computational costs while maintaining accuracy.

Skills

Python

C++

Git

HPC clusters

Machine Learning

Data analysis

AI concepts

Communication

Education

Master’s degree in Coastal Ocean Modelling

PhD in Machine Learning or related field

Tools

Git

Python

C++

Job description

Moody's Analytics invites applications for the Analytics and Modeling Intern - Coastal Flood in London. You will support the development and evaluation of machine learning and surrogate models to improve coastal flood risk modelling, working with Python and C++ on HPC clusters.

Explore Graph Neural Operators to reduce computation while preserving accuracy in coastal dynamics. We seek a Master’s or PhD student in Coastal Ocean Modelling or ML, able to start a 4‑month internship in March 2027.