Postdoc: Greenland Ice Melt & SWOT Satellite Analysis

EU Satellite Centre (SatCen)

Kongens Lyngby

Presencial

DKK 314.000 - 448.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

DTU Space in Lyngby, Denmark seeks a 2-year postdoc to re-imagine the SWOT satellite mission for tracking meltwater beneath the Greenland Ice Sheet. You will join the Cryosphere Research group within the GEO Division and contribute to the SWOT-ICE Experiment.

Your tasks include developing a processing framework, extracting time series, validating with ICESat-2, and publishing results while presenting at international conferences.

Formación

  • PhD (or equivalent) in a closely related field.
  • Strong quantitative background in remote sensing, satellite geodesy or glaciology.
  • Solid programming and data-analysis skills (ideally Python) for large datasets.
  • Experience with Earth Observation data, ideally satellite altimetry.
  • Independent, curious approach with proficiency in English.

Responsabilidades

  • Develop a processing framework for SWOT altimetry over the Greenland Ice Sheet, including correcting geolocation offsets between repeat passes.
  • Extract near-continuous surface elevation-change time series and validate them against ICESat-2 laser altimetry.
  • Combine elevation-change and backscatter observations to look for signatures of subglacial hydrological activity.
  • Interpret results in the context of hydrologically driven ice dynamics.
  • Publish in peer-reviewed journals and present at international conferences; contribute teaching as needed.

Conocimientos

Remote sensing
Satellite geodesy
Glaciology
Quantitative analysis

Educación

PhD (or equivalent)

Herramientas

Python

Descripción del empleo

DTU Space in Lyngby, Denmark seeks a 2-year postdoc to re-imagine the SWOT satellite mission for tracking meltwater beneath the Greenland Ice Sheet. You will join the Cryosphere Research group within the GEO Division and contribute to the SWOT-ICE Experiment.

Your tasks include developing a processing framework, extracting time series, validating with ICESat-2, and publishing results while presenting at international conferences.

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