Machine Learning Geospatial Analyst - Aalborg Kbh

At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use Dynamics under Compound Climate Impacts is open for appointment from the 1 May 2026 or soon thereafter. The position is available for a period of 18 months with possible extension providing a successful performance and contributions to the research activities of the Geoinformatics and Earth Observation (GEO) research group.

The department of Sustainability and Planning was established in 1975, and is located in two beautiful harbour-front locations in both Aalborg and Copenhagen. We have more than 250 employees and approximately 1,200 students across the two cities.

Our research and study programmes are rooted in sustainability and the green transition. This means we conduct research in areas such as the circular economy, technology, urban, energy, and environmental planning, as well as sustainable transition and design. Sustainability is central to our work in environmental assessment and marine management. In surveying and land use, sustainability is reflected in our efforts in nature restoration and climate adaptation.

As society continues to develop digitally, we also focus on responsible technological development, addressing real-life challenges. Our problem-oriented approach and close collaboration with businesses and public organisations form the foundation of all our study programmes. Additionally, our engineering programmes are among the best in Europe.

Job

This position is specifically about modelling cascading and compound impacts of climate change on future Danish land use in which spatial data analytics, earth observation, climate change, machine learning expertise, land use science, and spatial modelling skills are needed. The other position will be mainly focusing on adjusting and transferring probabilistic machine learning models for spatio-temporal data while quantifying uncertainties associated with climate projection data and models. Therefore, it is important to have two complementary profiles to work closely and have synergic collaboration effects.

We expect a motivated early career researcher with strong interest and experience with GIS/earth observation/climate projection data as well as machine learning models for predictive modelling and large foundation models for earth systems.

Skillsets such as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning workflows are important. The task can be expanded by contributing to other research projects of the Geoinformatics and Earth Observation (GEO) group, for example on GIS for positive energy districts planning, 15min city mobility analysis, and marine spatial planning, among others.

Limited teaching within the area can be expected, but also in other study programmes at the University.

You may obtain further professional information from Prof. Jamal Jokar Arsanjani, jja@plan.aau.dk. 99403183.

You can read more on TECH as a workplace here.You can read more on Department of Sustainability and Planning here.

Qualification requirements

• Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions for the position
• Curriculum Vitae (CV)
• Diplomas (master’s degree diploma and PhD diploma)
• List of publications, with an indication of the attached publications that you wish to be taken into account in the assessment. You may attach a maximum of five publications.
• Documentation of teaching qualifications if relevant.
• Dissemination qualifications, including participation on committees or boards, participation in organisations etc.
• Additional qualifications in relation to the position
• References/recommendations

You can read more about the requirements for your application here.

The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University’s website.

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.

Do you have any questions?

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.

Salary and terms of employment

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish).

There is a mutual probationary period of 3 months for the position.

Aalborg University

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