Safe and sustainable mobility in smart roads and smart cities by using disruptive communication architectures

Research theses
Abstract

link to the online application for PhD https://www.unict.it/it/bandi/dottorati-di-ricerca/2023-2024/bando-di-concorso-dottorati-di-ricerca-xxxix For that position we are lucking to candidates which: 
- Hold a master of science degree in Transportation Engineering or in a relevant or in an other discipline relevant in smart mobility (e.g Computer Science, robotics, Telecommunications, …) 
- Have skills in data analysis (statistics, Machine learning) and tools (e.g. SPSS, Mathlab, Python). 
- Experience with the collection, management and analysis of quantitative road mobility data 
- Be proficient in both written and oral English. 
- Have the ability to work independently and in close collaboration with others.

Keywords
artificial intelligence
Automated vehicles
road safety
ERC sector(s)
PE Physical Sciences and Engineering
Thesis supervisor
Name supervisor
Salvatore Cafiso
E-mail
dcafiso@unict.it
Name of Department/Faculty/School
Civil Engineering and Architecture
Name of the host University
University of Catania (UNICT)
EUNICE partner e-mail of destination Research
eunice@unict.it
Country
Italy
Student profile
Thesis level
PhD
Minimal language knowledge requisite
English B1
Additional info
Thesis mode
On-site
Start date
Length of the research internship
Other
Financial support available (other than E+)
Yes