• 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

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.

We look forward to receiving your online application with the following documents:

• CV, including a list of publications (if applicable)
• Cover Letter, including the following two elements: A brief description (max. 1/2 A4 page + 1 figure) of a result from your previous work that you are proud of and presents relevant skills for this project and a brief description (max. 1/2 A4 page) of your vision of your Doctoral research project
• Names and contact information of two references
• Copy of your MSc degree/diploma

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, tmedic@ethz.ch (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

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

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