The Chair of Soil Micro Mechanics of the Civil Engineering and Management Department at the University of Twente is seeking a full-time postdoctoral researcher (24 months) with research interests in geomechanics, geophysics, multiphysics, and multi-scale methods (e.g., discrete element method and finite element method) to join the University of Twente (Netherlands). You will work on multi-scale modeling of coupled thermo-hydro-mechanically processes in fault gouges leading to earthquake ruptures.

The post-doc position is part of the “FastSlip” project funded by the DeepNL programme of the Dutch Research Council (NWO). You will join a multidisciplinary team of leading experts in the fields of Granular Mechanics, Earth sciences, and Tribology from the University of Twente (UT) and Utrecht University (UU).

Detailed information regarding the postdoctoral position can be found here: postdoctoral.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 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

A postdoc position is now open in geomechanics at Department of
Geotechnical Engineering of Tongji University, China (ranked 1st for
civil engineering by U.S. News and ARWU). The project is on the
characterization of the inelastic processes of geomaterials under
multi-physics processes (i.e., drainage and imbibition process of
hydrogen storage in underground porous media, breakage mechanisms of
granular materials, and Thermal-Hydro-Chemo-Mechanical coupling in
carbon dioxide sequestration).

The postdoc will perform independent research under the supervision of
Dr. Xianda Shen. This is a two-year fixed term contract with possible
extensions if needed and can be started immediately. Annual salary is
around EUR 40,000 with extra bonus based on performance and
contributions to the department.

Interested applicants can forward a single PDF consisting of a 1-page
cover letter, a full CV, and contact details of two references to Dr.
Xianda Shen (xshen@tongji.edu.cn). The review of candidates will begin
on November 1st, 2024, and applications will be accepted until the
position is filled. For any additional information, see the attached
pdf, visit the lab website (https://xiandashen.github.io./), or please
write a message to xshen@tongji.edu.cn.

Postdoc position: Flow kinematics in transparent replicas of geomaterial samples using innovative 3D printing/molding techniques.

The research unit RECOVER from INRAE Aix-Marseille University is pleased to invite applications of talented and motivated candidates for a postdoctorate position (24-30 months) dedicated to the experimental characterization and direct flow visualisation in optically transparent porous media replicating as closely as possible the microstructure of real porous material and geomaterial samples scanned via X-ray tomography. The replicas will be obtained by elaborating innovative 3D printing and molding techniques. Achieving such transparent replica of real soil samples will allow for in-depth investigation of the transport processes in complex 3D porous microstructures.

The postdoctoral position is part of project KiWiPoM (2024-2028) supported by the French National Research Agency (ANR): https://recover.paca.hub.inrae.fr/nos-projets/kiwipom

Detailed informations regarding the position are available here: https://nextcloud.inrae.fr/s/Zazf3LjgBWicSjw

Keywords: Experimental, 3D printing, (sacrificial) molding, flow visualization, transport process, porous media

Inquiries and applications can be sent by email to mathieu.souzy@inrae.fr

The Laboratory of Soil Mechanics (LMS) at the Swiss Federal Institute of Technology (EPFL) in Lausanne, is seeking a motivated phd candidate and a postdoctoral researcher to support the development of innovative tools for improving representative multi-physical modeling of geological CO₂ storage (GCS).

LMS is a research lab directed by Prof. Lyesse Laloui that targets real-world challenges related to climate change, global energy demand, sustainable urban design and construction and safe and environmentally friendly waste disposal systems, through the development of unique analytical tools and innovative technologies.

The objective of this project is to develop a novel methodology through data-driven Machine Learning (ML) approaches for improving successful upscaling of subsurface engineering. A unique dataset from a metre-scale demonstrator of GCS in EPFL will enable fine training of the ML algorithms and the results will be compared to more conventional constitutive modeling approaches. Implementation of physical laws and multi-physics constrains may be considered for evaluating their impact on the accuracy of the results and computational cost. The methodology aims to significantly improve computational time and reliability of multi-scale modeling for the prediction of the macroscopic mechanical behavior of the involved geomaterials in GCS (caprock and reservoir).

The overall approach of the project aims to bridge lab- to field-scales in the context of a wider range of geotechnical/geomechanical subsurface applications (e.g. radioactive waste storage, hydrogen storage, hydrocarbon extraction etc.).