Fondazione Bruno Kessler
Just Landed
Posted Yesterday
PhD in AI-enhanced LiDAR-driven analyses for detecting sub-canopy archaeology features Fondazione Bruno Kessler in Italy
Degree Level
PhD
Field of study
Computer Science
Funding
Temporary full-time PhD position; the post states it is not funded by an EU programme. No stipend, tuition, or other financial details are provided.
Deadline
Sep 24, 2026
Country
Italy
University
Fondazione Bruno Kessler

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD opportunity at Fondazione Bruno Kessler in Italy focused on AI-enhanced LiDAR-driven analyses for detecting sub-canopy archaeology features. The project sits at the intersection of archaeology, computer science, GIS, point cloud processing, and deep learning, with an emphasis on heritage applications and landscape archaeology.
The research aims to develop efficient AI methods for processing airborne LiDAR data in both 2D/raster and 3D/point cloud formats. Planned tasks include collecting and preprocessing LiDAR datasets, building multi-resolution terrain representations, engineering archaeological signatures, designing supervised and unsupervised/few-shot deep learning architectures, exploring interpretable/explainable AI, and studying domain adaptation and transfer learning for robustness across regions and vegetation types. The project also includes validation, benchmarking, and methods to derive vector information from detected structures.
Eligibility highlights: Master degree or equivalent; strong coding skills; knowledge of GIS environments and point cloud processing; interest in heritage scenarios; collaborative, interdisciplinary mindset.
Location: Povo/Trento, Italy. Deadline: 24 Sep 2026 at 23:59 (Europe/Rome). Start date: 1 Jan 2027.
This is a full-time temporary PhD position. The listing notes that it is not funded by an EU programme.
Funding details
Temporary full-time PhD position; the post states it is not funded by an EU programme. No stipend, tuition, or other financial details are provided.
What's required
Master Degree or equivalent. The ideal candidate should have proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios, and a collaborative attitude for interdisciplinary work between computer scientists and heritage specialists.
How to apply
Apply through the FBK PhD call page or the Euraxess listing. Use the provided application website before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.