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News from members

Permanent researcher position at the Czech Academy of Sciences

NEWS received from
Jan Klimeš ( Czech Academy of Sciences)

Permanent researcher position at the Department of Engineering Geology, Institute of Rock Structure and Mechanics of the Czech Academy of Sciences

Position: Postdoctoral Researcher

Our established research team is looking for a new colleague ready to bring fresh ideas and enthusiasm to our projects. We study how gravitational and tectonic forces cause rock deformation – fundamental phenomena that can compromise infrastructure and affect future development. Our mission is to reduce landslide and fault-related risks through extensive field monitoring and rigorous investigations, carried out in collaboration with both international partners and the communities affected.

Your work:

  • Develop engineering geological models for landslides and underground spaces
  • Integrate field monitoring data directly into your models
  • Model rock deformation and strain changes using advanced numerical methods
  • Communicate your findings through presentations, reports, and publications

Requirements:

  • Ph.D. in science or engineering
  • Demonstrated experience with numerical modelling software
  • Strong record of publications in international peer-reviewed journals
  • Initiative in seeking grant opportunities and fostering international collaborations
  • Proficiency in English (B2/C1 level or higher)

We offer:

  • Full-time position is available immediately
  • The base salary follows the institute’s pay scale, with opportunities to supplement income through grants and publications
  • Friendly, collaborative research team with access to extensive field and monitoring data
  • Flexible working hours, including remote work, with 25 vacation days and 5 sick days per year
  • Access to training courses offered by the Czech Academy of Sciences
  • Discounts for sports facilities and the Academia bookstore
  • Possibility of affordable housing and access to childcare in Prague

Please submit a one-page motivation letter and a one-page structured professional CV to klimes@irsm.cas.cz.

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News from members

Open Ph.D. position at the Polytechnic University of Catalonia

News received from
Rosa Palau (UPC, Barcelona)

We are looking for a candidate for an Industrial Doctorate (DI) at the Polytechnic University of Catalonia (UPC·BarcelonaTech), in collaboration with the Cartographic and Geological Institute of Catalonia (ICGC). Preferential training is in Civil, Environmental, and/or Geological Engineering.

The research will be conducted within the framework of the MonTSE Project.

Research Focus

  • Sediment transport modelling: From source areas in mountain torrent catchments to downstream transport along stream channels.
  • Semi-quantitative multi-hazard risk analysis: Assessing risks associated with rockfalls and debris floods.

🎯 Desired Profile

  • Fieldwork Readiness: High motivation to conduct extensive field campaigns in mountainous terrain.
  • Technical Proficiency: Knowledge of programming and numerical modelling of debris flood mechanics.
  • Collaborative Mindset: Strong interest in interdisciplinary work and collaborative research environments.
  • Spanish or Catalan required

🚀 Why Join Our Team?

  • Join a research group with an international projection and a long history
  • Work with field data and long time series in natural laboratories
  • Full-time contract for 3+1 years
  • Work with Barcelona as your base 🌍
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News from members

Final Webinar of the PRIN-ITALERT project

NEWS received from
Stefano Luigi Gariano (CNR, Italy)

The final webinar of the PRIN-ITALERT (Prediction of Rainfall-INduced landslides – Improving multi-scale TerritoriAL Early warning through aRTificial intelligence) project is scheduled on Tuesday, 24 February 2026 at 10:00 am CET (9:00 am UTC).

The webinar will focus on the main findings of the project. After a brief introduction, three main presentations will be delivered:

Landslide data and satellite rainfall products to define reliable tools for landslide prediction, by Stefano Luigi Gariano (Italian National Research Council)
Leveraging hydrological information through machine learning for Landslide Early Warning Systems, by Nunziarita Palazzolo (University of Catania)
A dynamic, machine learning–based early warning model for daily spatio-temporal landslide prediction, Nicola Nocentini (University of Florence)

To join the webinar (no registration needed), use the following link:

More info on the project can be found
here: https://www.irpi.cnr.it/en/project/prin-italert/

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LandAware network News from members

LandAware Early Career Professional Networking Event

NEWS received from
Tobias Halter, Shreeja Das, Nicola Nocentini and Lisa Luna

Dear LandAware Members

On 3rd March, we are organizing an online LandAware networking event specifically for early career professionals working in landslide research and related fields.

The event will feature a series of short presentations, during which you will have the opportunity to present your work and highlight a specific challenge you have faced in your career to date.

After hearing input from your peers, we will discuss how we can solve the issues we have faced in our work together in smaller groups. 

If you would like to pitch your work or a specific challenge in three minutes, please email Shreeja Das (nddas@cyf-kr.edu.pl) by 17 February.

We can only spotlight eight presentations, so first come first served.

The event is scheduled to start on 3rd March at 14:00 UTC (15:00 CET, 9:00 EST, 6:00 PST, 19:30 IST) and will take place online on Teams (see link below, no registration is required).

If you have any questions or problems accessing the Teams link, please contact Tobias Halter (tobias.halter@wsl.ch).

Please share this announcement with your students, PhDs and Postdocs. It will be a great opportunity to connect with our peers.

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News from members

AGU25 LandAware get-together in New Orleans: Tue, December 16 – 6:30 pm

NEWS received from
Tobias Halter (WSL, Switzerland), Lisa Luna (USGS, USA)

We invite all LandAware Members who will be attending the AGU25 annual meeting, as well as their friends and interested research fellows, to join us for an informal dinner on Tuesday, December 16th.

We will meet after the session Landslide Life Cycle: From Hazard Analysis to Risk Assessment II Oral” and walk from the conference center in about 5 mins to the

We will meet after the session Landslide Life Cycle: From Hazard Analysis to Risk Assessment II Oral” and walk from the conference center in about 5 mins to the restaurant Zesty Creole (https://zestycreole.com/) where we suggest to meet at 6:30 pm (Google Maps: https://maps.app.goo.gl/duTFijbp5MenGWmVA).

If you are interested, please fill in the following google form: https://docs.google.com/forms/d/e/1FAIpQLSd40Ci3kk4FAPo4g3yQyE5ISssDEIuJBRKVONrk34ELRZE9jQ/viewform?usp=dialog

Note, that we have only have space for 25 people, so sign up now to reserve your spot.

We look forward to seeing you in New Orleans.

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News from members

Open Post-Doctoral position at NGI on risk assessment and climate adaptation measures for transportation networks

NEWS received from
Minu Treesa Abraham (NGI, Norway)

Topics:

  • Identifying and assessing physical vulnerabilities to climate-related hazards in transportation infrastructure
  • Risk assessment and development of a framework for selecting and prioritising climate adaptation measures for transportation
  • Data processing, Early warning systems (EWS) and dynamic risk assessment methodologies
Photo credit: NGI

Requirements:

  • PhD in Geotechnical Engineering, Geoscience, Remote Sensing, or a related field
  • Proven experience in risk assessment of natural hazards, especially those triggered by hydrometeorological processes
  • Familiarity with climate adaptation strategies and transport infrastructure resilience
  • Experience with data processing, early warning systems, and dynamic risk assessment
  • Excellent collaboration and English language skills

Full advertisement:

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=388&ProjectId=175872

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News from members

LEWS Session at EGU26

News received from
Luca Piciullo (NGI, Norway), Stefano Luigi Gariano (CNR, Italy), Samuele Segoni (University of Florence, Italy)

The call-for-abstracts of EGU General Assembly 2026 is open! EGU26 will be held in Vienna, Austria, and online on 3–8 May 2026.
Don’t miss the chance to submit an abstract to the sessionThe use of monitoring, modelling, and forecasting in Landslide Early Warning Systems“.

This session focuses on LEWS at all scales and stages of maturity, from prototype to active and dismissed ones. Test cases describing operational application of consolidated approaches are welcome, as well as works dealing with promising recent innovations, even if still at an experimental stage.
Contributions addressing the following topics will be considered positively:
– real-time monitoring systems (IoT);
– prediction tools for warning purposes;
– in-situ monitoring instruments and/or remote sensing devices;
– analysis of hydro-meteorological drivers to enhance forecasting;
– warning models for issuing warning;
– operational applications and performance analyses;
– machine learning techniques applied for early warning purposes.

On-site participants who wish to apply for Roland Schlich travel support must submit an abstract by 1 December 2025, 13:00 CET. They must be the contact author and the first and presenting author of their contribution.

Conveners: Luca Piciullo, Lisa Luna, Stefano Luigi Gariano, Ting Xiao, Samuele Segoni

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News from members

Newly published paper, “Weather-Induced Landslide Activity in Clayey Slopes: Modeling for the Design of Site-Scale Early Warning Systems”

NEWS received from
Vito Tagarelli (Polytechnic University of Bari, Italy)

A new paper entitled “Weather-Induced Landslide Activity in Clayey Slopes: Modeling for the Design of Site-Scale Early Warning Systems”, has just appeared in the ASCE Journal of Geotechnical and Geoenvironmental Engineering.

The paper explores how soil–vegetation–atmosphere (SVA) interactions control landslide activity in clayey slopes. Drawing on long-term field monitoring and advanced numerical modelling, we show how SVA processes influence pore-water pressures and slope stability, driving both shallow and deep landslides.

This work enabled us to identify effective indicators and precursors—such as pore-pressure patterns and cumulative rainfall thresholds—which may support their integration into landslide early warning systems (LEWS).

The results suggest that a new paradigm for designing LEWS is possible, emphasising the importance of phenomenological and numerical diagnosis of site-specific landslide processes. The framework we propose is applicable to a range of geo-hydro-mechanical contexts as well as future climate scenarios.

The work may be of interest to the LandAware community, given the relevance of the topic to both research and practice.

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LandAware network News from members

New landslide session at EGU26: NH3.13

NEWS received from
Gaetano Pecoraro (University of Salerno, Italy)

Dear Colleagues,

The call-for-abstracts of EGU General Assembly 2026 is open!

EGU26 will be held in Vienna, Austria, and online on 3–8 May 2026.

Don’t miss the chance to submit an abstract to our session, IoT-based monitoring and machine learning approaches for landslide studies”.

This session focuses on contributions dealing with design, implementation, and application of IoT monitoring systems and machine learning methods for landslide studies. Test cases describing operational applications are particularly welcome, as well as studies dealing with promising recent innovations, even if still at an experimental stage.

Topics of interest include, but are not limited to:
● design and deployment of IoT-based monitoring networks
● processing of geotechnical, hydrological, and meteorological data in IoT/ML frameworks
● methods for the analysis of complex datasets
● ML applications for landslide detection and forecasting
● real-time monitoring and analysis

The abstract submission deadline is 15 January 2026, 13:00 CET.

On-site participants who wish to apply for Roland Schlich travel support must be the contact author and the first and presenting author of their contribution. They must submit an abstract by 1 December 2025, 13:00 CET.

Conveners:
· Gaetano Pecoraro (University of Salerno, Italy, gpecoraro@unisa.it)
· Rosa Menichini (University of Salerno, Italy, rmenichini@unisa.it)
· Alessandro Zuccarini (University of Bologna, Italy, alessandro.zuccarin4@unibo.it)
· Nicola Dal Seno (University of Bologna, Italy, nicola.dalseno@unibo.it)
· Luca Piciullo (Norwegian Geotechnical Institute, Norway, Luca.Piciullo@ngi.no)

More info at: https://meetingorganizer.copernicus.org/EGU26/session/56494 

Please, share this information with anyone who might be interested and feel free to contact us if you need any help or support.

Looking forward to meeting you!

Warmest regards,

Gaetano, Rosa, Alessandro, Nicola, Luca

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News from members WG07 Operational LEWS

New article collection “Earth and Environmental Sciences: Operational Landslide Early Warning Systems–from Research to Best Practices”

News from:
Davide Tiranti (Regional Agency for Environmental Protection of Piemonte, Italy)

I am pleased to announce, along with my co-editors Graziella Devoli and Minu Treesa Abraham, the launch of a new collection on the Discover Applied Sciences journal (Springer Nature) entitled “Earth and Environmental Sciences: Operational Landslide Early Warning Systems–from Research to Best Practices”.

https://link.springer.com/collections/cbhaibfece

We welcome contributions from anyone involved in defining, designing, and managing Landslide Early Warning Systems, at any scale: from local to global.

We look forward to seeing you!

This collection focuses on the primarily pre-operational, operational and practical aspects related to the design and management of a Landslide Early Warning System and Service (LEWS-S), at local, regional/national, and global scales. We aim to collect contributions not only from the research community engaged on this topic, but also from practitioners responsible for the organisational tasks that must be addressed in daily operations to run an effective and efficient landslide early warning system, to communicate warnings effectively, and to manage the ensuing liability (including legal) implications. Contributions addressing the definition and implementation of early warning systems/services (from research to the development of operational tools), as well as studies on the validation of such systems—particularly in the context of a changing environment driven by global warming—are also welcome.