Offer Description
The research work aims to develop applications based on Artificial Intelligence (AI) technologies and their deployment on pilot cases for early warning of hydraulic criticalities resulting from extreme rainfall events. The work will be carried out as part of the project named “Casa delle Tecnologie Emergenti di Matera”.
Requirements
Additional Information
Benefits
- Employment contract with full social security: no
- Total amount per fellowship per year: 25000
- Currency: Euro
- Covers salary: yes
- Covers travel and subsistence: no
- Covers research costs: no
- Covers other costs: none
- Maximum duration of fellowship: 12
Eligibility criteria
– Graduate Diploma (V.O.) in Computer Science, Specialist/Master’s Degree in Computer Science belonging to the 23/S and LM-18 degree classes, Graduate Diploma (V.O.) in Environmental and Territorial Engineering, Specialist/Master’s Degree in Environmental and Territorial Engineering for classes 38/S and LM-35, Bachelor’s Degree (V.O.) in Civil Engineering, Specialized/Master’s Degree in Civil Engineering (LM-23), Single-cycle Specialized/Master’s Degree in Construction-Architecture Engineering 4/S (class of specialist degrees in architecture and construction engineering Ministerial Decree 509/199), or equivalent/equivalent degrees or qualification obtained abroad recognized as equivalent/equivalent on the basis of current legislation.
– PhD on topics related to environmental engineering is not a mandatory requirement for selection but only a preferential qualification.
– professional scientific curriculum.
Eligible destination country/ies for fellows:
- OTHER
Eligibility of fellows: country/ies of residence:
- OTHER
Eligibility of fellows: nationality/ies:
- OTHER
Selection process
The selection criteria concern the suitability of scientific and professional curriculum of the candidates regarding the research activities. In addition, the interview will focus on machine learning techniques and flood risk assessment and management, on hydrological and hydraulic modeling and on the environmental monitoring. The knowledge of English and/or Italian language will be verified during the colloquium.
Additional comments
- Contact email: aurelia.sole@unibas.it
- Contact phone: 0971 205157
- Annual budget: 25000
- Frequency of calls: annuale, rinnovabile
- International mobility required: no
Website for additional job details: https://service.unibas.it/documenti/show_document_db1.asp?tipo=12
