Postdoc in Peatland Hydrology with Focus on Groundwater and Machine Learning

Geological Survey of Denmark and Greenland (GEUS); Denmark; Vor Ort; DKK 350.000 - 520.000; Vollzeit

Zusammenfassung

Geological Survey of Denmark and Greenland (GEUS) invites applications for a Postdoc position focused on groundwater dynamics in peatlands. You will develop data-driven ML tools and integrate them with numerical models within the Horizon Europe PEAT-GENIE project, fostering international collaboration.

The role emphasises interdisciplinary work, publishing in top journals, and contributing to European peatland research across partners in multiple countries.

Qualifikationen

• PhD in geosciences or closely related field.
• Experience with GIS, remote sensing, Python and large environmental datasets.

Aufgaben

• Develop ML models to predict groundwater dynamics in peatlands.
• Link groundwater models with climate change and peatland restoration in a data-driven framework.

Kenntnisse

Machine learning

Data-driven modelling

Python programming

GIS

Remote sensing

Ausbildung

PhD in geosciences

Tools

GIS software

Python tooling

Jobbeschreibung

Geological Survey of Denmark and Greenland (GEUS)

Organisation/Company Geological Survey of Denmark and Greenland (GEUS) Research Field Geosciences Hydrology Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Application Deadline 5 Nov 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Feb 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? Yes

Offer Description

In this Postdoc position, you will investigate groundwater dynamics in peatlands and develop cutting-edge tools to model these dynamics. Your research on peatland hydrology will help inform future management strategies that support climate resilience, biodiversity protection, and sustainable land use.

The position is primarily within the Horizon Europe PEAT-GENIE project . PEAT-GENIE will develop a user-friendly, Digital Twin platform for monitoring, restoring, and managing peatlands across Europe. The project brings together 20 partners from 10 European countries, offering a highly international and interdisciplinary research environment. You will actively interact with the project partners to link groundwater with greenhouse gas emissions, biodiversity, and land use processes within the peatland scope.

The position is for 2.5 years, starting February 1, 2027. The work location is GEUS in Copenhagen.

About the position
The focus of the position is on developing new data-driven approaches to understand and predict groundwater dynamics in peatlands and their response to climate change and land restoration.

The specific objectives of the Postdoc project are to:

• Develop machine learning models for predicting groundwater dynamics in peatlands across space and time.
• Develop an assessment tool for evaluating the impacts of climate change and peatland restoration on groundwater dynamics through linking numerical hydrological models with machine learning.

The project combines hydrological modelling, remote sensing, machine learning, and the analysis of environmental data. You will have the opportunity to broaden your expertise by working across these disciplines and by collaborating closely with researchers from different backgrounds within PEAT-GENIE.

Your research findings are expected to be published in leading international peer-reviewed journals. You will also contribute to the international activities of PEAT-GENIE by participating in project meetings, workshops, and international conferences, and by collaborating with project partners across Europe.

PEAT-GENIE offers:

• An exciting research project within Horizon Europe including international collaboration with leading European research institutions
• Excellent opportunities for scientific publication and career development
• A highly interdisciplinary research environment spanning peatland ecology, hydrology, remote sensing, biogeochemistry, computer science, and stakeholder engagement
• The opportunity to develop expertise in emerging applications of AI and machine learning for environmental research

You are expected to hold a PhD in geosciences, environmental engineering, hydrology, environmental science, or a related field. The appointment will be based on your scientific achievements, academic record, and relevant professional experience.

Special emphasis will be placed on experience in one or more of the following areas:

• Process understanding at the intersection of catchment hydrology, groundwater, and peatland ecosystems
• Numerical hydrological modelling
• Groundwater hydrology
• Machine learning and data-driven modelling

Experience with geographical information systems (GIS), satellite remote sensing, Python programming, and the processing and analysis of large environmental datasets will be an asset. Previous experience disseminating scientific results through peer-reviewed publications and international conferences will also be positively evaluated.

As the project is highly interdisciplinary and collaborative, particular emphasis will be placed on your ability to work across disciplinary boundaries, engage with colleagues from different backgrounds, and contribute actively to a collaborative research environment.

Personal competencies include being structured, independent, responsible, proactive, and inquisitive in a research context, as well as the ability to embrace a broad range of activities and contribute positively to teamwork.

You must have an excellent command of English, both written and spoken. If you do not speak Danish, you are encouraged to take Danish language classes and to develop an appropriate level of understanding during your employment.