We are pleased to announce a fully funded PhD position at University Grenoble Alpes and CNRS (France) supported by the “Laboratoire d’Excellence Tec21” and European MSCA COFUND programme.
The PhD is dedicated to the analysis of the ductile-to-brittle behaviour transition in snow through X-ray tomography.

You will find detailed information about the PhD project in the attached document. Application details are also available here:
https://www.tecxxi.fr/phd-tec21/#about

Deadline for applications is 28 February 2026. Applicants must hold a master’s degree or equivalent qualification by the application deadline and must NOT have resided in France for more than 12 months during the last 3 years.

For further information, see the attached [PDF].

We are offering an exciting 2-year postdoctoral position focused on the analysis, diagnosis, and prediction of landslides using cutting-edge theoretical and statistical frameworks. The successful candidate will work at the frontier of geohazard research, leveraging advanced methods such as the dragon-king theory, endo-exo framework, log-periodic power law singularity (LPPLS) theory, and other methods developed by Qinghua Lei and Didier Sornette and others. A unique aspect of this position is the opportunity to collaborate with the Norwegian Water Resources and Energy Directorate (NVE), a key partner in the project, and to work with their extensive and high-quality database of ongoing monitored landslides across Norway. This rare access provides an exceptional empirical foundation to test and refine theoretical models. The position offers the freedom to explore new directions, develop original approaches, and contribute to shaping the future of geohazard prediction.

For further information, see the attached [PDF].

Title: Impact of pore pressure variations induced by pressurised TBM on neighbouring constructions: field data analysis and numerical modelling with artificial intelligence tools.

In urban areas, mechanised tunneling requires an accurate prediction of the impact of tunnel boring machines (TBM) on neighbouring structures , particularly those founded on piles .
The LTDS /ENTPE (UMR CNRS 5513) and the French Centre for Tunnel Studies (CETU) work on this topic for several years. The objectives of this postdoctoral research are twofold:
1) To improve understanding of pore pressure variations induced by pressurised TBMs and their impact on design methods , through analysis of experimental data from various construction sites, and coupled hydromechanical numerical simulations to evaluate the limits of “classical’ drained calculations.
2) To develop a physics informed machine learning surrogate model to predict pile displacements during TBM excavation.

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

The salary package could be referred to https://www.en.sdu.edu.cn/info/1169/7271.htm

For further information, see the attached [PDF].

We are pleased to announce a fully funded PhD position at University Grenoble Alpes and CNRS (France) supported by the “Laboratoire d’Excellence Tec21” and European MSCA COFUND programme.
The PhD is dedicated to the Multiscale Hydromechanics of growing roots and soils and will be conducted jointly with the 3SR and LIPhy laboratories.
You will find detailed information about the PhD project in the attached document. Application details are also available here:
https://www.tecxxi.fr/phd-tec21/#about
Deadline for applications is 28 February 2026. Applicants must hold a master’s degree or equivalent qualification by the application deadline and must NOT have resided in France for more than 12 months during the last 3 years.

For further information, see the attached [PDF].