Fully Funded PhD in Computer Vision for Debris-Flow Analysis

Emerging Scholars Council; Zürich; Vor Ort; CHF 50.000 - 60.000; Vollzeit

Benefits dieser Stelle

Public transport season tickets

Car sharing

ASVZ sports

Zusammenfassung

ETH Zurich's Engineering Geology group seeks a motivated PhD student specializing in computer vision to work on debris flow motion, timelapse data, and optical-flow based algorithms. The role includes dataset analysis, algorithm development, and contribution to teaching, with opportunity to pursue third-party funding.

The position is fully funded for four years, starting as early as Sept 1, 2026, with strong emphasis on independent work and collaboration within a multidisciplinary team.

Qualifikationen

• Master's degree in Computer Vision, Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering Geology or related discipline.
• Demonstrated expertise and interest in machine learning and computer vision with emphasis on object tracking, optical flow and sensor fusion.
• Knowledge of rock mechanics, soil mechanics and/or landslide processes is beneficial.
• Prior experience with point cloud processing is an asset.
• Ability to work independently.
• Strong written and oral communication skills in English.

Aufgaben

• Improve understanding of debris flow motion mechanisms in the Engineering Geology group.
• Process and analyze field datasets including timelapse point clouds and video imagery.
• Develop advanced algorithms focusing on optical flow and object detection.
• Interpret results to advance debris flow understanding and contribute to monitoring systems.
• Support teaching and help develop own research ideas for third party funding.

Kenntnisse

Machine learning

Computer vision

Object tracking

Optical flow

Sensor fusion

Independent work

English communication

Ausbildung

Master's degree in relevant field

Tools

Point cloud processing

Jobbeschreibung

ETH Zurich's Engineering Geology group seeks a motivated PhD student specializing in computer vision to work on debris flow motion, timelapse data, and optical-flow based algorithms. The role includes dataset analysis, algorithm development, and contribution to teaching, with opportunity to pursue third-party funding.

The position is fully funded for four years, starting as early as Sept 1, 2026, with strong emphasis on independent work and collaboration within a multidisciplinary team.