项目介绍

2026年8月20日

Your mission

We are offering a challenging position as a full-time (100%) PhD Student at ENAC Faculty at EPFL, Sion.

As a PhD student, you will develop technology for humanitarian data mining and analysis in the framework for the project CARE (Cross-modal AI for Relief Efforts), a collaborative project between EPFL, ETH and the ICRC. 

You will innovate in foundational methods for jointly modelling satellite imagery and textual conflict data. Advances in vision-language representation learning will be explored to link the two sources of information through alignment pipelines, localisation models, and damage detection with contextual priors. Working in close interaction with colleagues at ETH and the ICRC, you will create new capabilities directly aligned with the ICRC’s priorities in situational awareness and evidence-informed response and propose operational tools.

Main duties and responsibilities include:

• Design multimodal deep learning-based methodologies linking satellite image and textual data about conflicts.
• Develop approaches for events localization, with emphasis on robustness across events (domain adaptation).
• Develop tools for visualization and data analysis together with colleagues at the ICRC.
• Write publications.
• Attend international conferences, both in machine learning and remote sensing.
• Participate in the educational activities of the ENAC faculty.

Your profile

• You have a master’s degree in computer science.
• You have experience with the humanitarian sector and/or in remote sensing.
• You are proficient in Python coding and deep learning frameworks.
• You are fluent in English.
• You are motivated, curious, and willing to work in a highly dynamic team.

We offer

• An opportunity to develop a scientific career in an exciting area of science. 
• A unique opportunity to learn high-end techniques and approaches.
• Excellent educational conditions and competitive remuneration.
• A multi-cultural and stimulating scientific environment, in the EPFL-Valais campus in Sion.

How to apply

The selection process involves multiple stages, and short-listed candidates will be requested to apply to a specific EPFL Doctoral.
Please check this page for additional information on admission.

Please note that this is a separate application process necessary to be eligible to complete your PhD at EPFL.

Please apply before October 1st, 2026, using the application link on this page.