Postdoc in Arctic Ice Forecasting & AI-Driven Predictions

Danmarks Meteorologiske Institut; København; On-site; DKK 389,000 - 478,000; Full time

Benefits offered by this job

Flexible working week

Six weeks paid vacation

Paid lunch break

Job summary

The Danish Meteorological Institute (DMI) invites applications for a four-year, full-time Postdoctoral Researcher in Arctic Sea-Ice and Initialised Climate Prediction. You will advance AI-enhanced sea-ice predictability from seasonal to multi-annual scales within the Novo Nordisk Foundation project IcyAlert.

You will work in the Danish National Centre for Climate Research (NCKF), collaborating with RMI and DTU, and contribute to process understanding, ensemble experiments, and scientific

Qualifications

• PhD in climate science, atmospheric science, oceanography, sea-ice science, Earth-system science, applied mathematics, or closely related field.
• Experience with initialised climate prediction systems, ensemble forecasts or hindcast evaluation and large climate datasets.
• Strong programming in Python and experience with HPC environments.
• Good English communication and collaboration skills.

Responsibilities

• Investigate how winter climate states and key drivers affect Arctic sea-ice evolution and predictability across seasonal to multi-annual scales.
• Use probabilistic AI methods to generate initial-condition ensembles for sensitivity experiments.
• Conduct and analyse initialized ensemble predictions with EC-Earth to evaluate contributing factors to summer sea-ice predictability.
• Publish results and contribute to grant applications; collaborate with project partners DTU and RMI.

Skills

Python programming

Ensemble forecasts

HPC environments

English communication

Education

PhD in climate science or closely related field

Job description

The Danish Meteorological Institute (DMI) invites applications for a four-year, full-time Postdoctoral Researcher in Arctic Sea-Ice and Initialised Climate Prediction. You will advance AI-enhanced sea-ice predictability from seasonal to multi-annual scales within the Novo Nordisk Foundation project IcyAlert.

You will work in the Danish National Centre for Climate Research (NCKF), collaborating with RMI and DTU, and contribute to process understanding, ensemble experiments, and scientific