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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. Work will be supervised by Assoc. Prof. Andrés R. Masegosa and conducted in close collaboration with Prof. Jamal Jokar Arsanjani.

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

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RSS Feed Source: Academic Keys

Job ID: 264668

Professor, Director, & Endowed Chair
Mississippi State University <!– ATTACHED PICTURES:   –>

The Dave C. Swalm School of Chemical Engineering at Mississippi State University invites applications for the position of Professor, Director, and Endowed Chair of the School. The Director of the Swalm School of Chemical Engineering is under the administrative supervision of the Dean of the Bagley College of Engineering and is responsible for the overall administration of the school.  The Director is also the holder of the Earnest W. Deavenport, Jr. Chair.

Qualified candidates must hold an earned BS degree in Chemical Engineering or Petroleum Engineering and PhD degree in

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