A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen, starting on 1 January 2026 or soon thereafter. The position is available for a period of 18 months, with the possibility of extension based on performance and contributions to the DK-Future project. The physical location of this position will be at the Copenhagen campus of Aalborg University.

This position is part of the cross-disciplinary DK-Future project – Probabilistic Geospatial Machine Learning for Predicting Future Danish Land Use under Compound Climate Impacts, funded by the Villum Foundation (Synergy Programme). Two postdoctoral researchers will collaborate across AAU’s Departments of Computer Science (CS) and Sustainability and Planning (PLAN).

This position focuses on the machine learning methodology of the project, aiming to:

• Develop probabilistic spatio-temporal models that integrate uncertainty from climate projections into land-use forecasts.
• Advance Bayesian and ensemble learning approaches for non-stationary temporal processes.
• Implement probabilistic diffusion or generative models for long-term forecasting.
• Collaborate closely with the geoinformatics team to ensure models integrate effectively with geospatial data and concepts.

The dissemination of machine learning results is expected to target leading venues such as NeurIPS, ICML, ICLR, AISTATS, AAAI, ECAI, and TMLR.

The postdoc will join the PSAI research group and will be supervised by Associate Professor Andrés R. Masegosa (andresmasegosa.github.io), methodological PI of the DK-Future project. The position also includes collaboration with Professor Jamal Jokar Arsanjani (vbn.aau.dk/en/persons/jja) from the Department of Sustainability and Planning, as well as external partners in probabilistic machine learning and geospatial sciences.

Limited teaching may be arranged, if mutually agreed, in exchange for a contract extension.

Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience are essential, particularly in one or more of the following areas:

• Probabilistic or Bayesian Machine Learning
• Variational Inference, Ensemble, or Diffusion Models
• Spatio-Temporal or Sequential Modelling
• Graph Neural Networks
• Deep Learning and Uncertainty Quantification
• Python and ML frameworks (TensorFlow, PyTorch, JAX)
• Reproducible and open-science practices

Experience with geospatial, environmental, or climate data is advantageous but not required.

• A vibrant interdisciplinary environment integrating machine learning and sustainability science.
• Access to high-performance computing resources and open-source datasets.
• Opportunities to co-supervise MSc students and contribute to high-impact publications.
• An inclusive, international, and collaborative research environment at AAU-Copenhagen.

The Department of Computer Science at Aalborg University is highly regarded in Denmark among researchers, students, and external partners for its leading research, education, and collaborations. The department currently has more than 160 scientific staff, 20 administrative staff, and approximately 1,200 students. Our research combines theoretical and applied work with a focus on both scientific excellence and societal impact. We collaborate closely with industry and use research to create tangible value for society.

The department is located at Aalborg University Copenhagen, in the Sydhavnen district—a dynamic hub for research and innovation. It hosts strong research groups in artificial intelligence, machine learning, software engineering, data science, and cyber-physical systems.

The department is experiencing steady growth, and postdoctoral researchers have reasonable prospects for advancement to an assistant professorship, subject to performance and availability.

Our Probabilistic and Symbolic Artificial Intelligence (PSAI) research group focuses on probabilistic machine learning, interpretable AI, and intelligent decision-making systems, integrating rigorous theory with impactful applications. We collaborate closely with national and international partners across academia, industry, and government.

The application must include:

• Motivation letter (max. 2 pages): Explain reasons for applying, qualifications relevant to the position, and research vision.
• Curriculum Vitae (max. 2 pages)
• Copies of relevant diplomas (MSc and PhD). On request, official English translations may be required.
• Scientific qualifications: A complete publication list, highlighting up to 5 selected works.
• Dissemination qualifications: Participation in committees, boards, or professional organisations.
• Additional qualifications relevant to the position.
• References or recommendations
• Personal data

Applications must be submitted online via the Apply online button below.

Shortlisting will be applied. After handling any objections regarding the assessment committee, the Head of Department, with assistance from the committee chair, will select the candidates to be assessed. All applicants will be informed whether they advance to the assessment stage.

AAU aims to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Information regarding applicable guidelines, ministerial circulars, and procedures can be found on the AAU website.

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

Further information 
Read more about our recruitment process here   

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  
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish). 

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). 

Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3,700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers, students, and public and private companies. This is how we achieve insights, new solutions to societal problems, and knowledge that changes the world. Our main campus is in Aalborg, but we also have campuses in Esbjerg and Copenhagen.