Doctoral Position: 3D scene reconstruction and multi-modal sensing for digital twins of stone-built heritage

ETH Zurich; Zürich; Vor Ort; CHF 47.000 - 54.000; Vollzeit

Benefits dieser Stelle

Fully funded PhD position

International, collaborative team

Access to state-of-the-art sensing装备

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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).

Kenntnisse

3D reconstruction

Programming (Python/C++)

LiDAR

English proficiency

Fieldwork

Ausbildung

MSc in geomatics or related field

Tools

Python

C++

Jobbeschreibung

Doctoral Position: 3D scene reconstruction and multi-modal sensing for digital twins of stone-built heritage

The Chair of Geosensors and Engineering Geodesy at ETH Zurich is looking for a Doctoral candidate to work on 3D mapping, scene reconstruction and multi-modal sensing for information-rich digital twins of heritage buildings.The position is part of the collaborative project “HC3 – Heritage Conservation Collaboration Copilots”.HC3 aims to establish information-rich 3D digital twins of stone-built monuments that are interoperable through eXtended Reality (XR), together with the sensing and monitoring methods that provide the data they are built on. These will help us model and understand how stone-built heritage deteriorates, and predict how this deterioration will evolve under climate change. Within the project, you would collaborate with two other Doctoral students employed by the Chair of Physical Chemistry of Building Materials at ETH Zurich and a postdoctoral researcher working on the interface of both Chairs. The HC3 project is leadbyProf. Robert Flatt at Chair of Physical Chemistry of Building Materialsand by dr. Tomislav Medic atChair of Geosensors and Engineering Geodesy (Tomislav would be your direct supervisor).

• Reality capture at scale: Plan and carry out multi-sensor mapping campaigns of monuments (including LiDAR and imaging technologies using ground-based and UAV platforms)
• Multi-modal data fusion and 3D scene reconstruction: Calibrate, register and fuse point clouds and imagery into unified, data-rich 3D representations (point clouds, meshes, neural radiance fields, 3D Gaussian splatting)
• 3D scene parsing: Develop deep learning enabled methods that segment the scene into individual building elements (stone blocks) for automated digital twin (HBIM) generation
• Inference of material properties: Develop machine learning methods that infer building material properties (stone deterioration type and severity) per element from multi-modal data and time series
• Collaborate on integrating this data into digital twins and extended reality, validate your methods against conservation expert assessments and physical chemistry laboratory experiments; publish in leading journals and conferences; contribute to teaching (upon agreement)

Profile

• MSc degree (completed or about to be completed) in geomatics, remote sensing, computer vision, robotics, computer science or a related field
• Solid background in 2D/3D perception (point cloud and image processing, photogrammetry, 3D reconstruction) and in parameter estimation, incl. machine and deep learning; good programming skills (Python or C++)
• Hands-on experience with laser scanning (LiDAR) or imaging systems is an advantage, and willingness to do fieldwork on monuments is a must
• Further requirements: Interest in interdisciplinary work with material scientists and conservation practitioners; excellent English; French or German is an advantage

We offer

A fully funded four-year doctoral position in an international, dynamic team of highly motivated and supportive colleagues, state-of-the-art sensing equipment, and work on a project with a potential to evolve beyond the initial scope. ETH Zurich offers excellent infrastructure, continuing education and a salary according to ETH regulations, in a city with outstanding quality of life.

In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future .

Further information about the Department (D-BAUG), the Institute (IGP), and the Research group (GSEG)can be found on our websites: DBAUG , IGP , GSEG . Questions regarding the position should be directed to Tomislav Medic , [e-mail] (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow.