RSS feed source: USGS Earthquake Hazards Program

The University of Utah’s Nuclear Engineering Program (UNEP), part of the John and Marcia Price College of Engineering, is seeking applications for one full-time, tenure-track Assistant Professor position in Nuclear Engineering. The anticipated start date is August 1, 2026.

A successful candidate will join a dynamic and growing program housed in the Department of Civil and Environmental Engineering (CVEEN). CVEEN is one of seven rapidly expanding departments within the College, with a 50% growth in tenure-track faculty over the last decade and research expenditures now exceeding $81 million annually. The department currently has 23 tenure-track faculty and three lecturers, with active searches underway for additional positions. CVEEN maintains a robust research portfolio, with over $19 million in external funding in 2024. More information is available at www.civil.utah.edu.

UNEP currently features four tenure-track faculty in addition to affiliated faculty from across Engineering, Science, and Medicine, and

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RSS feed source: USGS Earthquake Hazards Program

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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