Postdoc

Rejoignez le Swiss Federal Institute of Technology Lausanne (EPFL) !

Tâches

• Développer des modèles d'analyse structurale pour ARGUS.

• Acquérir des données sur des typologies de maçonnerie.

• Participer aux réunions du consortium ARGUS.

Compétences

• Doctorat en ingénierie civile ou informatique requis.

• Expérience en programmation et IA nécessaire.

• Compétences en gestion de projet appréciées.

Postdoc
Swiss Federal Institute of Technology Lausanne, EPFL

Workplace Lausanne, Lake Geneva region, Switzerland Category Computer Science | Economics
Position Senior Scientist / Postdoc
Published 13 June 2025 Apply now »

EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.

Mission

The EU project ARGUS aims to leverage know-how and engineering innovations from industry and academia to develop a novel digital twin model for heritage structures that supports multi-scale and multi-modal data. The simulation of the structural analysis of the physical structure is at the core of the digital twin model, enabling the assessment of the current state and the prediction of the response to various external threats.
As one of the 13 consortium members, the EESD group at EPFL will contribute to the development of structural analysis models for the investigated pilot cases, taking into account the masonry typologies at the microstructural level.
To support this effort, we are seeking a postdoctoral researcher with a strong background in civil engineering and/or computer science.

Main duties and responsibilities

• Data acquisition related with images of stone masonry typologies from the several pilot cases of ARGUS.
• Development of irregular stone masonry microstructures for numerical analysis based on on-site information.
• Participation in all ARGUS consortium meetings
• Participation in education, and PhD and master student supervision

Profile

• PhD (or nearing completion of) in Civil Engineering or Computer Science
• Strong experience in programming and use of AI algorithms
• Research experience incomputational analysis of masonry structures is a plus
• Proficiency in Python or MATLAB for data analysis
• Commitment to research reproducibility and best practices
• Publication record (relative to your career stage) in internationally leading journals
• Independent, creative, and solution-oriented
• Excellent communication skills in English (written and spoken)
• Good project management skills
• Good team spirit

We offer

• A stimulating and international working environment
• Competitive salary and excellent working conditions - more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/'))
• Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe.
• Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD candidates

Informations

Only applications submitted through the online platform are considered. You are asked to supply:
• A brief cover letter (pdf, up to 2 pages).

And in one PDF:
• A CV with a publication list.
• Contact details for 3 referees.

For any further information, please contact: savvas.saloustros@ epfl.ch (No applications sent to this address shall be considered).
The contract runs until the end of the project, November 30, 2026.
Starting date: Upon mutual agreement, but no later than September 2025.
Contract Start Date : 09/01/2025
Activity Rate Min : 100.00
Activity Rate Max : 100.00
Contract Type: CDD
Reference: 1604

Apply now »

Find similar jobs:

Personnel Scientifique (FR), Personnel Scientifique, Internal only

More information

In your application, please refer to myScience.ch and referenceJobID67564.