Abstract submission for the Special Session on Image Analysis and Machine Learning for Geomechanics in ISMLG 2023

The rising interest and demand for energy geo-structures and energy storage  systems require a fundamental understanding of the  hydro-chemo-thermo-mechanically coupled processes in soils and rocks for  thermal piles, nuclear waste disposal, gas storage and caprock integrity, etc. Advanced imaging techniques provide essential insights  into the behaviour of geomaterials under various applied conditions,  including hydraulic pressure, chemical reaction, temperature, and  mechanical loading. For example, X-ray micro-tomography is a  non-destructive 3D imaging tool for the in-situ multi-physical  characterisation of geomaterials. Other imaging techniques include  digital cameras, neutron tomography, X-ray diffraction, and magnetic  resonance imaging.
Image  analysis and machine learning apply widely in our daily life, from face  recognition to self-driving cars. In geomechanics, machine learning is  becoming increasingly popular to enhance the quantitative information  that image analysis can provide through phase segmentation, fracture  recognition, particle tracking, etc. This session aims to attract  high-quality contributions that use image analysis and machine learning  in geomechanics.
The relevant topics include but are not limited to:

  •  Soil mechanics
  • Rock mechanics
  • Multiphase flow
  • Hydraulic-induced instability
  • Dissolution and precipitation
  • Freezing and thawing
  • Fines migration and clogging
  • Microbially induced calcite precipitation

More information on https://www.ismlg2023.com/special-session7.


We are looking for a highly motivated PhD student to work on an interdisciplinary research project involving artificial intelligence, stochastic analysis, geomechanics, infrastructure asset management, and climate change.
In this research project, we aim to develop a stochastic framework to assess the resiliency of infrastructure subject to climate disasters and extreme events. The findings can be of great importance for stakeholders and insurance companies.
The project will be conducted jointly at the University of Waterloo (Prof. Dipanjan Basu) and Polytechnique Montréal (Prof. Pooneh Maghoul).

• Proven experience in statistics, stochastic analysis, data analysis, machine learning,
resilience analysis, or related fields.
• Strong scientific programming skills with Python and/or R;
• Proven research-based publications in above-mentioned fields.
• Excellent technical writing for scientific publications.
• Strong communication skills.
• Excellent problem-solving skills.
• Ability to work well with a team and use initiative to achieve goals.
• A minimum G.P.A. of 3.6/4.0 or equivalent in your last 60 credit hours of study is required.
• A minimum IELTS score of 7.0 is required.

Interested applicants should send their applications to Prof. Pooneh Maghoul (pooneh.maghoul@polymtl.ca) and Prof. Dipanjan Basu (dipanjan.basu@uwaterloo.ca) and using the subject line “PhD Application – Stochastic Evaluation of Infrastructure Resilience”.
A complete application should include:
• A cover letter including a brief description of research interests relative to the above topics and a motivation of why the applicant’s expertise and background is appropriate for the position.
• Curriculum Vitae (CV) including a complete list of scientific publications.
• Copies of transcripts (BSc & MSc).
• Contact information for two references.

Our institutes are strongly committed to fostering diversity and inclusion. Through its Equal Access Employment Program, our institutes invite women, Aboriginal people, visible and ethnical minorities, as well as persons with disabilities to send their application. We will confidentially adapt our recruitment mechanisms to the specific needs of people with disabilities who request it. We also welcome applications from candidates of all orientations and sexual identities.

More information in the online pdf.

Software Developer Machine Learning & Data Science in R&D area

We are looking for a person to work on technical development for a research project in the area of prediction of material developments from production and environmental data. The research project, which preML is conducting together with the Institute of Concrete Structures and Building Materials Materials Testing and Research Institute (MPA Karlsruhe) of the Karlsruhe Institute of Technology (KIT), has a duration of two years, but the contract is offered for an unlimited period. Further we offer the possibility you are using this project to start your PhD in this area.

More information in the flyer.

Postdoc Position in durability of microbial-induced calcite precipitation at Grenoble-Alpes University.

A post-doc position is opened at Grenoble-Alpes University. The goal of this project is to characterize the evolution of the microstructure in reinforced media in real time, when exposed to an aggressive environment. In particular, a focus will be made on the contact surface area and the crystal morphology evolution through time.

The application deadline is the 8th December 2022, but the applications will be treated as they arise. Applicants must be available to start around the begining of 2023.

Please find more information in the attached pdf file.

Contact : antoine.naillon@univ-grenoble-alpes.fr

Position of Professor of Geotechnics and Cormack Chair of Civil Engineering

The James Watt School of Engineering (JWSE) at the University of Glasgow is an energetic and growing international centre of excellence for engineering research and teaching. We are seeking to appoint a professor who will provide leadership in research and research-led education in Geotechnics. More information in the following link: https://www.jobs.ac.uk/job/CUH683/cormack-chair-of-civil-engineering

For more information, contact Professor Andrew McBride  Andrew.McBride@glasgow.ac.uk or visit www.gla.ac.uk/explore/jobs/appointments/100348.

Apply online at: my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=100348

PhD and PostDoc positions in the field of Alpine Mass Movements – ETH Zürich and SLF Davos.

The Chair of Alpine Mass Movements is part of the Department of Civil, Environmental and Geomatic Engineering (D-BAUG) at ETH Zurich and the WSL Institute for Snow and Avalanche Research SLF in Davos. In our group, we develop numerical models and experimental facilities to better understand the initiation and dynamics of alpine mass movements such as snow avalanches, debris flows and rockfalls. Our research contributes to improve risk assessment and management procedures related to gravitational mass movements in alpine regions and mitigate their impacts.

We offer two PhD and 1 PostDoc position in the field of modeling Alpine Mass Movements. The full description and application webpage is given in the links below:

EPFLeaders4impact – A new postdoctoral fellowship programme for the next generation of sustainable science leaders

3rd call for the EPFLeaders4impact programme (deadline 1 March 2023) providing grants to postdoctoral researchers working on innovative solutions to global challenges.

EPFLeaders4impactis a new postdoctoral fellowship programme funding talented researchers who have the ambition to provide innovative solutions to the United Nations Sustainable Development Goals.

EPFLeaders4impact fellows will be able to take steps towards starting a company based on their own research or to have their proposed innovative solution implemented through a technology transfer to an existing company/organisation.

EPFLeaders4impact has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034260.

What: 12, 18, 24, or 36-month postdoctoral fellowships. The EPFLeaders4impact fellowship consists of a monthly contribution to the salary of the postdoctoral researcher of EUR 2’740. The remaining part of the salary as well as associated costs are covered by the EPFL hosting laboratory.

Where: research funded by the EPFLeaders4impact programme must be conducted at one of the EPFL campuses in Lausanne, Geneva, Neuchâtel, Valais, or Fribourg.


  • Applicants must be Experienced Researchers (ER); they must hold a doctoral degree or have at least 4 years of full-time equivalent research experience by at the latest the date of recruitment.
  • Applicants must fulfil the MSCA transnational mobility rules and must not have resided or carried out their main activity (work, studies, etc.) in Switzerland for more than 12 months in the 3 years immediately before the call deadline.
  • Applicants must be able to carry out full-time research during the fellowship period. Parental leave, sick leave, care leave, and military leave are nevertheless permitted.

Application deadline: 1 March 2023 (17:00 CEST)

Start of the fellowship: at the earliest: 1 July 2023, at the latest: 1 November 2023

Current fellows and their projects: here

More details: please, visit the EPFLeaders4impact website

Contact: research@epfl.ch

Two Assistant Professor positions in Resilient Infrastructure and Environmental Biotechnology

Dear colleagues,

The department of Civil and Environmental Engineering of Duke is soliciting applications for two Assistant Professor positions. While all research areas will be considered, topics of particular interest for this search include (a) cyber-physical systems (CPS)-informed solutions for resilient infrastructure and (b) environmental biotechnology in the built environment. Please see attached for further details and use this link for applying: https://academicjobsonline.org/ajo/jobs/23516

I would appreciate if you could help us disseminate this information across your networks.

PhD Position at University of Strathclyde

A 4-year PhD studentship is available for UK or international applicants: “Meeting future net-zero carbon energy needs: Improved borehole sealing using compacted bentonite and silica grout“. This project will investigate new technologies for borehole sealing to prevent the upward leakage of fluids and gases that are stored at-depth in the ground. Reliable borehole sealing is vital for global development of an energy industry that can meet net zero carbon by 2050 (2045 in Scotland).

Candidates can apply at: https://www.strath.ac.uk/studywithus/postgraduateresearch/yourapplicationoffer/

The closing date for applications is Nov 21st 2022. The PhD project can start at any time, ideally beginning as soon as possible. However, candidates MUST be able to start before March 31st, 2023.

Further Information

More information are available on this pdf file.

For further information on the application process, please contact: Morag.McIntosh@strath.ac.uk

For further information regarding the project please contact Prof Rebecca Lunn or Dr Gea Pagano (rebecca.lunn@strath.ac.uk arianna.pagano@strath.ac.uk)

Seminar: “Meshfree models for Engineers. Where are they really worthwhile?”

Mesh-free models have become increasingly popular in the computational mechanics community, especially when traditional mesh-based approaches –such as the Finite Element Method (FEM)– may lose their predictive capacity due to excessive mesh distortions induced by large deformations. However, mesh-free models remain relatively unknown among most engineers (compared to FEM), and are relegated to purely academic cases most of the time. One of the reasons may be the fact that engineers do not usually design conventional structures to behave in the finite deformation regime, which is commonly associated with the post-failure behaviour of the structure (buckling, slope failure and others). Indeed, before it happens, FEM simulations are able to predict the early stages of the dominant failure mechanism and thus calculate safety factors, which is in most of the cases the main concern of professional engineers. Naturally, the following questions may arises, there is room for mesh-free methods in daily engineering? And finally, what are the applications that can be subject to this type of methodology? This thematic seminar aims answer this question (and related-ones) and to open a discussion between pure numerical researchers and those which interact with industry.

Further information can be found on the following links: