Experimental and Deep Learning Approaches for Structural Damage Assessment with Mechanochromic Coatings
Posted on: 24/02/2026
Deadline: 26/03/2026
Scientific-Disciplinary Group
08/CEAR-07 - Structural Analysis And Design
Description
This postdoctoral fellowship aims to develop and apply deep learning-based computer vision approaches, such as convolutional neural networks (CNNs) and vision transformers (ViT), for the automated analysis of visual data within innovative Structural Health Monitoring (SHM) systems.
Compensation
32,145 Euro
Job posting website
Number of positions
1
Maximum duration
12.0
Funding body
Università degli Studi della Tuscia
How to apply
deim@pec.unitus.it
Selection process
Click to expand
The selection process is based on an evaluation of candidates and is designed to assess the suitability of theirscientific and professional CV for the activities covered by the contract. The evaluationis complemented by a public interview to assess the candidates' research aptitude,even in a language other than Italian. All admitted candidatesmay attend the interview.
Scientific and professional CV: 35 pointsQualifications: 25 pointsInterview: 40 points
View the original posting on the MUR website: Go to MUR website