Job Description

Mission

As a PhD student, you will investigate the potential of large-scale deep learning models, for constructing 3D models of coral reefs. This will require the design and development of scientific methodologies based on machine learning and photogrammetry for segmentation and 3D reconstruction from underwater videos acquired by consumer-grade cameras (e.g. GoPros). These efforts will contribute to the joint activities of the ECEO and LGB laboratories and the Transnational Red Sea Center of EPFL in the Red Sea and in Asia.

Main duties and responsibilities

Design deep learning-based methodologies for the characterization of coral benthic classes in underwater videos Integrate the advances in generic multi-modal foundation models into coral reef mapping pipelines Join fieldwork missions for data acquisition Write publications and attend conferences in both machine learning and marine science Participate in the educational activities of the ENAC faculty.

Profile

You have a master's degree in computer science, electrical or environmental engineering or equivalent You are proficient in Python coding and experienced with machine learning and deep learning You have diving experience with PADI certifications or a strong willingness to acquire them 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 Competitive remuneration and excellent educational conditions A unique opportunity to learn high-end techniques and approaches A multi-cultural and stimulating scientific environment, in the EPFL-Valais campus in Sion, Switzerland

Informations

Contract Start Date : 10/01/2025

Activity Rate : 100.00

Contract Type: CDD

Duration: 1 year (candidacy examination) + up to 5 years after

Reference: 1692