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PhD scholarship - Project 'AI-augmented FAIR-by-design methodologie'

Areasciencepark
CompanyAreasciencepark
CategoryData & Analytics
LocationArea Science Park
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen3 Aug 2026 (the employer did not state a posting date)
Last verified10 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Open date: 14/05/2026 Expire date: 25/05/2026 Experiences required: View the call Qualification required: Master’s degree Organisation: University of Trieste As part of the 42nd cycle of PhD programmes, the University of Trieste is funding, through Area Science Park resources, 1 PhD scholarship dedicated to the project “AI-augmented FAIR-by-design methodologie” ( Project No. 10 of the call) to be carried out at the Laboratory of Data Engineering (LADE) of Area Science Park, located in Padriciano (Trieste). Co-supervisors: Tommaso Rodani, Mariarita de Luca The project will develop AI-powered FAIR digital ecosystem designed to automate the research data lifecycle through scalable architectures and autonomous pipelines. By integrating LLMs for metadata extraction and machine learning for data quality, the project will translate FAIR principles into machine-actionable processes within the EOSC framework, ensuring seamless interoperability across European research infrastructures. This PhD project shifts the data curation paradigm towards “FAIR-by-design” data ecosystems, integrating Artificial Intelligence directly into the data creation and ingestion phases to overcome the limitations of traditional data management. The candidate will design, set up, and validate highly scalable data architecture where critical data tasks are integrated with generative and predictive models. By utilizing advanced technologies and AI techniques the project aims to translate abstract FAIR principles into concrete, automated, machine-actionable processes. The ultimate goal is to engineer AI-powered FAIR digital ecosystem where data life cycle is managed in all its aspect. The candidate will orient these AI-augmented methodologies within the European Open Science Cloud (EOSC) framework, ensuring seamless interoperability across European research infrastructures. Mail to: [email protected] For more information on requirements, application procedures, and details of the PhD programme, please refer to the official call available in the dedicated section of the University of Trieste website. To apply for PhD programmes at the University of Trieste, follow this link → How to enrol to a PhD Programme | University of Trieste (units.it)