PhD: 3D Heritage Digital Twins & Multimodal Sensing

ETH Zurich; Zürich; On-site; CHF 47,000 - 54,000; Full time

Benefits offered by this job

Fully funded PhD position

International, collaborative team

Access to state-of-the-art sensing装备

Job summary

ETH Zurich is seeking a Doctoral candidate for 3D scene reconstruction and multi-modal sensing to develop information-rich digital twins of stone-built heritage. You will conduct multi-sensor mapping campaigns, calibrate and fuse data, and advance 3D representations for HBIM generation.

The role requires a MSc in a related field, strong 2D/3D perception skills, and programming in Python or C++. Fieldwork on monuments and collaboration with material scientists is expected.

Qualifications

• MSc degree in geomatics, remote sensing, computer vision, robotics or related field.
• Solid background in 2D/3D perception (point clouds, images) and parameter estimation; good programming skills in Python or C++.
• Hands-on experience with laser scanning (LiDAR) or imaging systems is an advantage; willingness to do fieldwork on monuments.

Responsibilities

• Plan and carry out multi-sensor mapping campaigns of monuments (LiDAR and imaging) using ground-based and UAV platforms.
• Calibrate, register and fuse point clouds and imagery into unified 3D representations (points, meshes, neural radiance fields).
• Develop deep learning methods to segment scenes into building elements for HBIM generation.
• Infer material properties from multi-modal data and time series.
• Collaborate on integrating data into digital twins and extended reality; publish in journals; contribute to teaching (upon agreement).

Skills

3D reconstruction

Programming (Python/C++)

LiDAR

English proficiency

Fieldwork

Education

MSc in geomatics or related field

Tools

Python

C++

Job description

ETH Zurich is seeking a Doctoral candidate for 3D scene reconstruction and multi-modal sensing to develop information-rich digital twins of stone-built heritage. You will conduct multi-sensor mapping campaigns, calibrate and fuse data, and advance 3D representations for HBIM generation.

The role requires a MSc in a related field, strong 2D/3D perception skills, and programming in Python or C++. Fieldwork on monuments and collaboration with material scientists is expected.