We are currently recruiting for the following GENIUS Doctoral Network Doctoral Candidate position hosted at the University of Perugia:

DC 13: Innovative Applications of EGs in Densely Urbanized Areas: study of their potentiality in Mitigating Subsurface Urban Heat Islands.

Deadline: 26th June 2026
Selection: 1st July 2026

Important: If you have already applied for DC13 during the previous recruitment round, please do not submit a new application. Existing applications remain on record and will continue to be considered.

For more information about this position, please see here:
https://genius-dn.eu/projects/

We are seeking two highly motivated PhD students to join the ERC Consolidator Grant project FORECAST, which aims to develop a new scientific framework for understanding, diagnosing, and forecasting catastrophic failure in geophysical systems.

The two positions will focus on:
🔹 Landslides
🔹 Rockbursts

The projects will combine theoretical modelling, statistical physics, numerical simulations, and monitoring data to investigate the mechanisms governing failure precursors, instability evolution, and predictability in geophysical systems.

The successful candidates will join a dynamic international research team and work closely with leading researchers and international partners working on geohazard forecasting and risk mitigation.

For further information, see the attached [PDF].

The Data-Driven Mechanics Laboratory at EPFL at invites applications for a fully funded PhD position at the intersection of computational mechanics, multiphysics of geomaterials, and interpretable machine learning. The project focuses on the discovery of governing equations and constitutive relations for key multiphysics phenomena on the basis of rich micromechanical and experimental data. The successful candidate will contribute to a next-generation data-driven framework for scientific discovery in geomaterials.

This research will be supervised by Prof. Kostantinos Karapiperis (EPFL) and will involve several international collaborations. For more information on the project and details on how to apply, please see the attached PDF.

Applications are evaluated on a rolling basis until July 15th 2026.

For further information, see the attached [PDF].

Ghent University is seeking a highly motivated postdoctoral researcher or research engineer to join a newly funded research infrastructure project focused on the development and scientific use of a miniature thermo-hydro-mechanical (THM) triaxial device for in situ 4D X-ray CT imaging of porous materials.
The project will enable direct observation of microstructural changes, phase transitions, fluid redistribution, cracking, and degradation processes under controlled thermal, hydraulic, and mechanical conditions. The first applications will focus on geomaterials, frozen soils, and other climate-sensitive porous materials, while the platform will also be relevant to rocks, concrete, wood, asphalt binders, and related material systems.
The position is mainly hosted at the UGent Geotechnical Institute and will be closely connected to the Centre for X-ray Tomography at Ghent University (UGCT). It will be a shared collaborative position with RWTH Aachen University, where the selected cand

For further information, see the attached [PDF].

The Digital Dikes project (Digital Dikes: a multiscale framework for risk assessment of Backward Erosion Piping) invites applications for 14 PhD and Postdoc positions. See current vacancies at https://www.digital-dikes.nl/Vacancies/
Digital Dikes is a high-profile research programme, funded by the Dutch Research Council (NWO), which comprises partners from six universities, supported by a broad group of end-users and stakeholders, led by the University of Twente. Over the course of six years, Digital Dikes will develop advanced 3D models for BEP incorporating real-world soil characteristics, validated through industry and government collaborations. This enables precise dike reinforcements and boosts cost-effective flood protection.
If you are interested, we invite you to take a look at the project description https://www.digital-dikes.nl/.

A 3-year PhD position is available in the team Mécanique et Physique en Milieux Poreux (MPPM) at the Laboratoire des Fluides Complexes et leurs Réservoirs (LFCR) of the Université de Pau et des Pays de l’Adour (UPPA) on the Anglet campus, located on the Basque coast in France.

The project consists of coupling X-ray CT image analysis with numerical modelling to understand the impact of salt crystallisation on rock cliff coastal erosion. Applicants should have a background in numerical mechanics, civil engineering, geomechanics, or a related field. Applications close on 31 May 2026.

This research will be supervised by David Grégoire (HDR) and Adriana Quacquarelli. For more information on the project and details on how to apply, please see the attached PDF.

For further information, see the attached [PDF].

Post-doctoral Fellowship positions in Machine Learning/Numerical Analysis in Geotechnical Engineering are open at the Geotechnical Engineering Research Group, Shandong University, Jinan, China. Candidates should have graduated with a Ph.D. within the last three years and have experience in machine learning/numerical analysis in geotechnical engineering. Successful candidates will engage in interdisciplinary research in applying machine learning/numerical analysis in transportation geotechnics, underground space or offshore geotechnical engineering. Interested applicants are encouraged to contact Prof. Kai Yao https://www.researchgate.net/profile/Kai-Yao by emailing yaokai@sdu.edu.cn

For further information, see the attached [PDF].