[Job] Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling – Aalborg University (Copenhagen - Denmark)

[Andres Masegosa]

Aalborg University invites applications for a Postdoctoral position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling, based at the Department of Computer Science, Copenhagen Campus.
The position starts 1 January 2026 (or soon thereafter) for 18 months, with a possible extension based on performance.

This position is part of the DK-Future project — Probabilistic Geospatial Machine Learning for Predicting Future Danish Land Use under Compound Climate Impacts — funded by the Villum Foundation (Synergy Programme).
The postdoc will develop probabilistic spatio-temporal models, advancing Bayesian, ensemble, and diffusion approaches to forecast land-use change under climate uncertainty.
The work will be supervised by Assoc. Prof. Andrés R. Masegosa (Department of Computer Science) and conducted in close collaboration with Prof. Jamal Jokar Arsanjani (Department of Sustainability and Planning).

Qualifications:
PhD in Machine Learning, AI, Computer Science, Statistics, or a related field.
Experience in probabilistic/Bayesian methods, variational inference, spatio-temporal modelling, or deep learning (TensorFlow/PyTorch/JAX).
Experience with geospatial or environmental data is a plus.

Location: Copenhagen, Denmark
Deadline: 21 November 2025
Employment: Full time
Ref. number: 2025/631

More information and online application:
👉 https://www.vacancies.aau.dk/scientific-positions/show-vacancy/vacancyId/868169

Contact:
Andrés R. Masegosa – ar...@cs.aau.dk