Positions

Current positions available in the Global Wetland Center:


3-year Postdoc position in Global Modelling of Wetland Hydrology for GHG Emission Estimates, GEUS

Your Role:
You’ll develop an innovative, scalable, high-resolution hydrology model. This model will provide critical insights for estimating GHG emissions and designing wetland-based climate solutions.

Who We’re Looking For:
PhD in computational hydrology or computer science with a focus on environmental modeling.
Expertise in numerical modeling programming will be an asset.

Why Join Us?
Be part of the research team at GEUS’s Department of Hydrology - GEUS, working on challenges in hydrology, climate adaptation, and climate mitigation. Supervision by Simon Stisen.

Location: Copenhagen, Denmark.

Deadline for application: 7 February 2025
Apply now: https://lnkd.in/daWPGYfz


Akademisk medarbejder til SCIENCE, Institut for Geovidenskab og Naturforvaltning.
Institut for Geovidenskab og Naturforvaltning (IGN) ved Det Natur- og Biovidenskabelige Fakultet (SCIENCE), Københavns Universitet søger en akademisk medarbejder til at bistå i opgaver med måling af drivhusgasser i det åbne land.
Ansøgningsfrist: 15. november 2024.
Tiltrædelse den 1. januar 2025, eller snaret derefter og for en periode på seks år. 
Mere information: Akademisk medarbejder til SCIENCE, Institut for Geovidenskab og Naturforvaltning (ku.dk)


PhD fellowship in Earth observation of disturbed wetlands: taking stock of high-resolution mapping in support to global upscaling of GHG budget.
The position is hosted at the
Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark.
Deadline for application: 15 September 2024
Start date is 1 January 2025, or as soon as possible thereafter.

The project
Wetlands are dynamic ecosystems that undergo continuous natural fluctuations. They are under increased pressure from anthropogenic exploitation and ongoing climate change. Subtle changes, such as shifts in vegetation composition, alterations in hydrological patterns, or degradation of habitat quality, may occur gradually over time and can go unnoticed in the absence of detailed assessment and monitoring rooted in remote sensing satellite systems.
Mapping disturbance in wetlands is essential for accurate greenhouse gas (GHG) accounting. Disturbances in wetlands, such as drainage, conversion to agriculture, or urban development, can alter carbon storage and fluxes, leading to emissions of GHGs like carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). Similarly, natural disturbances such as droughts, wild fires and flooding, may also affect the GHG budget of wetlands at various time scales. By detecting subtle changes in wetlands, particularly those related to vegetation dynamics, soil conditions, and hydrological regimes, we can better understand the factors influencing carbon dynamics in these ecosystems.
High-resolution imagery can significantly enhance our ability to detect and quantify changes in wetland ecosystems, enabling e.g. amongst others more accurate estimation of GHG emissions and removals associated with wetland degradation and restoration. This information is crucial for assessing the net impact of wetlands on the climate system and for developing effective strategies to mitigate GHG emissions and enhance carbon sequestration in wetland ecosystems.
More information: https://lnkd.in/dsp5bQEF


PhD fellowship in remote sensing driven hydrological and biogeochemical modelling of tropical wetlands. The position is hosted at DHI, Denmark. 
Deadline for application: 1 October 2024
Start date is 1 January 2025, or as soon as possible thereafter.

The project
The project focuses on tropical wetlands, which are dynamic environments where water flow and biogeochemical processes determine the balance between carbon sequestration and carbon emissions. Precise hydrological models help predict water levels, flow patterns, and inundation periods, which influence the wetland's capacity to store carbon. Meanwhile, detailed biogeochemical models capture the complex interactions among soil, water, and vegetation, dictating how carbon is assimilated, stored, and released. The research involves integrating remote sensing technologies with advanced modelling techniques to enhance our understanding of hydrological processes and biogeochemical interactions in both natural and managed wetland ecosystems and thereby improving our understanding of how tropical wetlands contribute to or mitigate climate change.
More information: https://lnkd.in/dvX7yyPQ