Arctic Data Scientist (Part-Time) Python & Freshwater Flux

DTU Space; Kongens Lyngby; In loco; DKK 90.000 - 110.000; Part-time

Descrizione del lavoro

DTU Space is seeking an academic employee (part-time) to process primary datasets from ESA's CryoTEMPO Polar Ocean data for ArcFresh project. You will convert satellite data into freshwater transport estimates and compare with observational and model datasets to validate transports.

You will join a research team led by Professor Ole Baltazar Andersen at DTU Lyngby and contribute to climate-related Arctic studies through Python-based data processing and collaboration in project meetings.

Competenze

• Experience in processing geoscience datasets.
• Proficiency in Python for data processing and scripting.
• Ability to work part-time and collaborate in a research team.

Mansioni

• Process CryoTEMPO Polar Ocean data into freshwater transport estimates.
• Validate results by comparing with observational and model datasets.
• Document methods and results, participate in project meetings.

Conoscenze

Python programming

Descrizione del lavoro

DTU Space is seeking an academic employee (part-time) to process primary datasets from ESA's CryoTEMPO Polar Ocean data for ArcFresh project. You will convert satellite data into freshwater transport estimates and compare with observational and model datasets to validate transports.

You will join a research team led by Professor Ole Baltazar Andersen at DTU Lyngby and contribute to climate-related Arctic studies through Python-based data processing and collaboration in project meetings.