Postdoc in Biogeochemical Modeling in Agroecosystems at Aarhus University, Denmark (2026)

Are you passionate about greenhouse gas emissions, nitrogen cycling, climate-smart agriculture, and biogeochemical modeling? Aarhus University's Department of Agroecology is inviting applications for a Postdoctoral Researcher in Biogeochemical Modeling in Agroecosystems.

This exciting opportunity is ideal for researchers with expertise in process-based agroecosystem models, uncertainty analysis, Bayesian statistics, and climate change mitigation. The successful candidate will contribute to cutting-edge research aimed at improving regional estimates of greenhouse gas emissions and evaluating sustainable agricultural management strategies across Denmark.


Position Overview

Position    Postdoc in Biogeochemical Modeling in Agroecosystems
University    Aarhus University
Department    Department of Agroecology – Climate and Water
Location    Tjele, Denmark
Employment Type    Full-time
Contract Duration    2 years (with possibility of extension)
Expected Start Date    1 December 2026 (or as soon as possible thereafter)
Application Deadline    31 August 2026 (23:59 CEST)

About Aarhus University

Aarhus University is one of Europe's leading research universities, recognized internationally for excellence in agricultural sciences, environmental research, climate studies, engineering, and sustainability.

The Department of Agroecology consists of approximately 350 employees, including around 50% scientific staff, working across nine research sections dedicated to solving global challenges related to:

  • Sustainable agriculture

  • Climate change

  • Soil health

  • Water resources

  • Environmental protection

  • Plant and animal production

Researchers have access to:

  • Advanced laboratories

  • Greenhouses

  • Field-scale experimental facilities

  • High-performance computing (HPC)

  • Extensive international collaborations


Research Project

The postdoctoral researcher will join a research group focused on:

  • Greenhouse gas (GHG) emissions

  • Reactive nitrogen dynamics

  • Climate-smart agriculture

  • Regional environmental modeling

  • Climate change mitigation

The primary objective is to develop scalable process-based biogeochemical models that evaluate agricultural management strategies across Denmark.

The project particularly investigates:

  • Nitrification inhibitors

  • Fertilizer management

  • Nitrogen use efficiency (NUE)

  • Nitrous oxide (N₂O) emissions

  • Reactive nitrogen losses

  • Climate mitigation hotspots


Research Responsibilities

The successful candidate will contribute to several major research activities.

Develop Regional Biogeochemical Models

You will:

  • Develop scalable process-based modeling frameworks

  • Simulate carbon, nitrogen, and water cycling

  • Evaluate climate-smart farming strategies

  • Produce regional environmental projections


Model Calibration and Uncertainty Analysis

A significant component of the project involves:

  • Bayesian calibration

  • Monte Carlo simulations

  • Model-data fusion

  • Uncertainty quantification

  • Sensitivity analysis

These analyses will improve confidence in regional predictions of greenhouse gas emissions.


Climate Change Mitigation Assessment

The research aims to identify management practices that improve agricultural sustainability by balancing:

  • Crop productivity

  • Nitrogen use efficiency

  • Soil health

  • Greenhouse gas emissions

  • Environmental quality


Scientific Publications

The postdoctoral researcher is expected to:

  • Publish in high-impact international journals

  • Present research findings at conferences

  • Participate in collaborative research projects


Teaching

In addition to research, the successful applicant will contribute to departmental teaching activities.


Required Qualifications

Applicants should possess:

  • PhD in:

    • Agronomy

    • Agricultural Engineering

    • Biology

    • Environmental Sciences

    • Technical Sciences

    • or a related discipline


Required Research Experience

Candidates should demonstrate experience with:

Process-Based Models

Examples include:

  • DayCent

  • DNDC

  • Similar ecosystem process models

Experience should include simulation of:

  • Carbon cycling

  • Nitrogen dynamics

  • Water movement

  • Agroecosystem processes


Statistics and Modeling

Strong background in:

  • Bayesian calibration

  • Monte Carlo simulations

  • Applied statistics

  • Uncertainty analysis


Programming

Applicants should have strong scientific programming skills in:

  • Python

  • R


High-Performance Computing

Experience working with:

  • HPC environments

  • Large environmental datasets

  • Model automation


Scientific Communication

Applicants should demonstrate:

  • Scientific writing

  • Peer-reviewed publications

  • Excellent spoken and written English


Preferred Skills

Competitive applicants will have:

  • Process-based agroecosystem modeling experience

  • Climate-smart agriculture research

  • Regional environmental assessments

  • Model-data fusion techniques

  • Cross-disciplinary collaboration experience


Research Facilities

Researchers benefit from access to:

  • Professional laboratories

  • Greenhouses

  • Semi-field facilities

  • Experimental farms

  • High-performance computing systems

  • National and international research networks


Working Environment

The Department of Agroecology offers:

  • International research teams

  • Collaborative culture

  • Flexible work arrangements

  • Strong academic support

  • Inclusive workplace

  • Interdisciplinary research opportunities


Living in Denmark

International researchers receive excellent social benefits, including:

  • Universal healthcare

  • Free education

  • Subsidized childcare

  • Five weeks of annual paid vacation

  • Up to 52 weeks of shared parental leave

  • Relocation assistance

  • Expat Partner Programme

These benefits make Denmark one of the world's most attractive destinations for academic researchers.


Salary

Salary is determined according to:

  • Danish Ministry of Taxation

  • Confederation of Professional Associations

  • Candidate seniority and qualifications

Additional employment benefits follow the Danish collective agreement for academic staff.


Career Development

Aarhus University offers several professional development opportunities, including:

  • Junior Researcher Development Programme

  • International networking

  • Career mentoring

  • Training workshops

  • Research collaborations

  • Grant development support


Application Requirements

Applications must be submitted in English and include:

  • Curriculum Vitae (CV)

  • Degree certificate

  • Complete publication list

  • Statement of future research plans

  • Research activities

  • Teaching portfolio (if applicable)

  • Verified teaching experience (if available)

Applications must be submitted through Aarhus University's online recruitment system.


Important Dates

Event    Date
Application Deadline    31 August 2026 (23:59 CEST)
Expected Start Date    1 December 2026


Official Application Link



Why Apply?

This position offers an outstanding opportunity to:

  • Work on climate-smart agriculture

  • Advance process-based environmental modeling

  • Develop expertise in Bayesian calibration and uncertainty analysis

  • Collaborate with leading agroecology researchers

  • Publish high-impact scientific research

  • Access world-class research infrastructure

  • Live and work in Denmark's internationally recognized research environment


Frequently Asked Questions (FAQs)

1. Where is this postdoctoral position located?

The position is based at Aarhus University, Department of Agroecology, Tjele, Denmark.


2. What is the duration of the appointment?

The appointment is two years, with the possibility of extension.


3. What research area does the project focus on?

The research focuses on biogeochemical modeling, greenhouse gas emissions, reactive nitrogen dynamics, and climate-smart agricultural management.


4. Which process-based models are preferred?

Experience with models such as DayCent, DNDC, or similar agroecosystem models is highly desirable.


5. What programming languages are required?

Strong programming skills in Python and/or R are required.


6. Is High-Performance Computing (HPC) experience required?

Yes. Experience using HPC systems for environmental modeling and large dataset analysis is highly valued.


7. What statistical skills are expected?

Applicants should have expertise in:

  • Bayesian calibration

  • Monte Carlo simulations

  • Uncertainty quantification

  • Applied statistics


8. Will the researcher participate in teaching?

Yes. The successful candidate is expected to contribute to teaching activities within the department.


9. Does Aarhus University provide relocation support?

Yes. International researchers receive relocation assistance and access to the Expat Partner Programme.


10. What is the application deadline?

Applications must be submitted by 31 August 2026 (23:59 CEST).


11. When does the position start?

The expected starting date is 1 December 2026, or as soon as possible thereafter.


12. Who should apply?

This position is ideal for researchers with backgrounds in agronomy, environmental science, soil science, agricultural engineering, climate science, biogeochemical modeling, carbon and nitrogen cycling, and sustainable agriculture, especially those interested in advancing climate-smart farming and regional environmental modeling.

Comments

Popular posts from this blog

PhD, Postdoc, and Faculty Jobs at Uppsala University, Sweden – How to Apply?

Fully Funded PhD (24) and Postdoctoral (8) Positions at University of Bonn, Germany – CRC 1780 FoodDiverse (2026)

Fully Funded PhD Opportunities at the University of Turin, Italy — 42nd Cycle (2026–2027)