Postdoctoral Opening in Computational Geomechanics at the University of British Columbia (Canada)

The selected candidate will join the Theoretical & Applied Geomechanics research group at the University of British Columbia, working under the supervision of Prof. Mahdi Taiebat. The position involves a one-year appointment, with the possibility of a contract extension after this period. It is available from January 1st, 2023 or upon agreement. The selected candidate is expected to implement advanced constitutive laws, conduct numerical analyses with MPM/PFEM computational techniques, and apply ML techniques for inverse analysis.

More information is in the attached pdf file.

14th International Conference “Modern Building Materials, Structures and Techniques”

Dear Colleague,

We invite you to join the 14th International Conference “Modern Building Materials, Structures and Techniques”, which will be held in Vilnius, Lithuania, on 5–6 of October 2023. This conference provides an opportunity for scientists, engineers, managers and professionals from around the world to share the latest achievements in field of civil engineering. Such a conference is an excellent opportunity to meet colleagues, exchange knowledge and extend the list of new contacts.

Conference volume will be published in SPRINGER NATURE Conference Proceedings. All selected and high quality papers will be sent to international databases and indexed in Clarivate Analytics Web of Science ISI Proceedings and Scopus.

For more details please visit conference website:

11 PhD positions in the EU Horizon Europe Marie Skłodowska-Curie Doctoral Networks MSCA-DN Project SMILE

Applications are invited for 11 PhD positions to be funded by the Marie-Sklodowska-Curie Actions Doctoral Network SMILE (MultidiSciplinary and MultIscale approach for coupLed processes induced by geo-Energies, Grant Agreement No. 101073281). SMILE is a consortium of high-profile universities, research institutions and companies located in Spain, France, Norway, Italy, Czech Republic, UK, Switzerland, the Netherlands and Germany.

More information in this pdf file.

Offshore Geotechnics PhD Studentship Opportunity

The University of Southampton is offering a PhD Studentship on “Efficient ‘Whole-life’ anchoring systems for offshore floating renewables”.

This PhD offers you the opportunity to tackle the urgent real-world challenge of developing efficient deep water anchoring systems for offshore floating renewable energy infrastructure. You will also have the opportunity to work as part of a vibrant research group focussed on a range of offshore engineering challenges and engage with a range of industry partners.

More information in the following pdf file.

Two Postdoctoral Openings in Geomechanics and Landslide Mechanics

The Northwestern University is opening two new projects. Each project, one on slope stability and related landslide hazards and the other on carbon mineralization finalized to CO2 sequestration, involves one Ph.D. and one postdoctoral opening. 

More information on each project in the following flyers:
Chemo-mechanics of damaged rocks undergoing carbon mineralization
Assessment of slope stability conditions via satellite remote sensing

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


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 ( and Prof. Dipanjan Basu ( 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.