Coastal Flood Risk ML Modeling Intern

Moody's; Greater London; On-site; GBP 20,000 - 27,000; Full time

Job summary

Moody's is seeking an internship candidate to support the development and evaluation of machine learning and surrogate models for coastal flood risk. You will work on coastal flooding dynamics, waves, and surge, collaborating with a multidisciplinary team.

The role focuses on improving ML models, exploring methods like Graph Neural Networks, and evaluating performance while managing computational costs. A Masters/PhD track is preferred and an internship begins March 2027 in the UK.

Qualifications

• Experience with HPC, Linux, and Git version control.
• Proficient in Python and C++ for scientific computing.
• Background in ocean/wave or statistical modelling is ideal.
• Experience handling large datasets and ML workflows.
• Familiarity with GNNs and Fourier Neural Operators (FNOs).
• Strong analytic and communication skills for insights.
• Demonstrated AI capabilities with ethical awareness.

Responsibilities

• Support development and evaluation of ML and surrogate models for coastal flood risk.
• Characterize coastal dynamics to identify key predictors and processes.
• Improve ML models for coastal risk and variability representation.
• Compare ML with surrogate frameworks and assess computational cost reductions.

Skills

HPC on Linux

Python

C++

Ocean modelling

Data analysis

GNNs

FNOs

Model evaluation

Analytical skills

AI implementation

Ethical AI

AI risk awareness

Education

Masters/PhD in Coastal Ocean Modelling or ML

Internship readiness (4 months starting March 2027)

Tools

Git

Job description

Moody's is seeking an internship candidate to support the development and evaluation of machine learning and surrogate models for coastal flood risk. You will work on coastal flooding dynamics, waves, and surge, collaborating with a multidisciplinary team.

The role focuses on improving ML models, exploring methods like Graph Neural Networks, and evaluating performance while managing computational costs. A Masters/PhD track is preferred and an internship begins March 2027 in the UK.