ETH Zurich
Just Landed
Posted Yesterday
Doctoral Position in 3D Scene Reconstruction and Multi-Modal Sensing for Digital Twins of Stone-Built Heritage ETH Zurich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded four-year doctoral position. ETH Zurich provides a salary according to ETH regulations, excellent infrastructure, continuing education, state-of-the-art sensing equipment, and an international research environment.
Country
Switzerland
University
ETH Zurich
Apply for this position
Keywords
Suggested positions
École Polytechnique Fédérale de Lausanne
Switzerland
2 weeks ago
EPFL (École Polytechnique Fédérale de Lausanne) is advertising a postdoctoral position in Generative AI within the Laboratory of Visual Intelligence for Transportation (VITA) in Lausanne, Switzerland. The project sits at the intersection of Computer Science , Computer Vision , Machine Learning / Deep Learning , and Human-Robot Interaction . The successful candidate will develop new methods for real-time video generation , digital twins , and human-like avatars . Eligibility highlights include a ...
2 weeks ago
Alexandre Alahi
EPFL
Switzerland
New Today
The Laboratory of Visual Intelligence for Transportation (VITA) at EPFL is seeking a postdoctoral researcher in Generative AI . The project sits at the intersection of computer vision, machine learning, and human-robot interaction, reflecting the lab’s broader aim of understanding human actions, anticipating intentions, and enabling more seamless interaction between people and intelligent systems. The successful candidate will work on new methods for real-time video generation , digital doubles ...
New Today
École Polytechnique Fédérale de Lausanne
Switzerland
2 weeks ago
EPFL (École Polytechnique Fédérale de Lausanne) is advertising a postdoctoral position in 3D Computer Vision and remote sensing within the Laboratory of Visual Intelligence for Transportation (VITA) . The lab’s research sits at the intersection of Computer Vision , Machine Learning / Deep Learning , and Human-Robot Interaction , with the successful candidate expected to develop new methods for remote sensing and work with aerial imagery and large datasets. Eligibility highlights: applicants shou...
2 weeks ago
ETH Zurich
Switzerland
2 weeks ago
ETH Zurich’s Advanced Manufacturing Lab (am|z), led by Prof. Markus Bambach, is recruiting a Doctoral Researcher in humanoid robotics , 3D perception , and embodied AI for autonomous manufacturing. The project focuses on enabling humanoid robots to perceive, understand, and interact with complex manufacturing environments using novel RGB-D sensing technologies. Research topics include robot perception , semantic segmentation , 3D scene understanding , simulation-to-real transfer , autonomous man...
2 weeks ago
Alexandre Alahi
EPFL
Switzerland
New Today
The Laboratory of Visual Intelligence for Transportation (VITA) at EPFL is seeking a postdoctoral researcher to develop new methods for remote sensing within a broader research agenda spanning Generative AI, Computer Vision, Machine Learning, and Human-Robot Interaction. The position sits in a dynamic, interdisciplinary research group that aims to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people across different settings. The advertised pr...
New Today
About this position
ETH Zurich is offering a fully funded four-year doctoral position in 3D scene reconstruction and multi-modal sensing for information-rich digital twins of stone-built heritage.
The project is part of the collaborative HC3 – Heritage Conservation Collaboration Copilots initiative, led by the Chair of Physical Chemistry of Building Materials and the Chair of Geosensors and Engineering Geodesy. The doctoral researcher will work on reality capture at scale, including LiDAR and imaging technologies deployed from ground-based and UAV platforms.
Research activities include calibrating, registering, and fusing point clouds and imagery; developing 3D representations such as point clouds, meshes, neural radiance fields, and 3D Gaussian splatting; and creating deep-learning methods for segmenting building elements such as stone blocks. The project will also investigate machine-learning approaches for inferring stone deterioration types and severity from multi-modal data and time series.
The researcher will collaborate with other doctoral researchers, a postdoctoral researcher, material scientists, conservation practitioners, and physical chemistry laboratories. The work will contribute to digital twins, HBIM, extended reality, heritage conservation, climate-change impact assessment, and publications in leading journals and conferences.
Applicants should hold or be completing an MSc in geomatics, remote sensing, computer vision, robotics, computer science, or a related discipline. Strong skills in 2D/3D perception, photogrammetry, point-cloud and image processing, 3D reconstruction, parameter estimation, machine learning, and Python or C++ are expected. Laser-scanning or imaging experience is advantageous, while willingness to conduct monument fieldwork is essential. Excellent English is required; French or German is an advantage.
Applications must include a CV, cover letter, two requested descriptions concerning previous work and the proposed doctoral vision, contact information for two references, and an MSc degree or diploma copy. Apply exclusively through the ETH Zurich online portal.
Funding details
Fully funded four-year doctoral position. ETH Zurich provides a salary according to ETH regulations, excellent infrastructure, continuing education, state-of-the-art sensing equipment, and an international research environment.
What's required
Applicants must have a completed or soon-to-be-completed MSc degree in geomatics, remote sensing, computer vision, robotics, computer science, or a related field. They should have a solid background in 2D/3D perception, point-cloud and image processing, photogrammetry, 3D reconstruction, parameter estimation, and machine or deep learning, together with good Python or C++ programming skills. Experience with laser scanning or imaging systems is advantageous. Willingness to conduct fieldwork on monuments is required. Applicants should be interested in interdisciplinary collaboration with material scientists and conservation practitioners and have excellent English; French or German is advantageous. The application must include a CV with publications if applicable, a cover letter containing a relevant previous-work result and a vision for the doctoral research project, contact details for two references, and a copy of the MSc degree or diploma.
How to apply
Submit the complete application exclusively through the ETH Zurich online application portal. Include the CV, cover letter with the requested project descriptions, two references' contact information, and MSc degree or diploma copy. Direct questions to Tomislav Medic by email; applications are not accepted by email or post.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Switzerland
Research Interests
Digital Twin Technology
Architectural Conservation
Computer Science
Robotics
3d Reconstruction
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.