AI-Driven Ocean Climate Modelling Placement

Met Office; Exeter; Hybrid; GBP 24,000 - 30,000; Full time

Benefits offered by this job

Salary £27,170

27.5 days annual leave

Discounted shopping

Job summary

Met Office is advertising a 12-month Year in Industry placement in AI for Ocean Climate Modelling, starting July 2027. The role sits in the Ocean Modelling team within OCC at the Hadley Centre, Exeter. The position is full-time (37 h/w) with hybrid working and a salary of £27,170 per year.

Applicants must be enrolled in a relevant mathematical or physical science degree with an industrial placement year. You will review ML literature, prepare datasets, and develop data-driven approaches to

Qualifications

• Experience with programming or scientific computing tools such as Fortran, Python, or MATLAB.
• Studying for a degree in a mathematical or physical science, with an industrial placement year included.
• Strong interest in AI and machine learning and motivation to build skills in this area.
• Strong analytical and problem-solving abilities.
• Ability to communicate technical ideas clearly in writing and in group discussions.

Responsibilities

• Review literature on ML approaches to ocean vertical mixing to understand current limitations.
• Select and process training datasets for ML.
• Develop and evaluate data-driven approaches for ocean vertical mixing.
• Assess performance and validity of the approach with data and/or simplified experiments.
• Analyse, document and communicate results with limitations and recommendations.

Skills

Fortran

Python

MATLAB

Industrial placement year

Analytical skills

Written and verbal communication

Education

Math or Physical Science degree

Tools

none

Job description

Met Office is advertising a 12-month Year in Industry placement in AI for Ocean Climate Modelling, starting July 2027. The role sits in the Ocean Modelling team within OCC at the Hadley Centre, Exeter. The position is full-time (37 h/w) with hybrid working and a salary of £27,170 per year.

Applicants must be enrolled in a relevant mathematical or physical science degree with an industrial placement year. You will review ML literature, prepare datasets, and develop data-driven approaches to