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LUISS Guido Carli University

Fully Funded PhD in Data Science, Artificial Intelligence and Machine Learning at Luiss Guido Carli University Luiss Guido Carli University in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Italy

University

LUISS Guido Carli University

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Keywords

Computer Science
Data Science
Mathematics
Political Science
Artificial Intelligence
Public Policy
Business
Digital Innovation
Computational Social Science
Economics
Statistics
Machine learning

About this position

Luiss Guido Carli University in Rome, Italy is inviting applications for the PhD in Data Science (XLII cycle, a.y. 2026/2027). This is a strong opportunity for candidates interested in Data Science, Artificial Intelligence, Machine Learning, Statistics, Computational Social Science, Data-Driven Decision Making, and Advanced Analytics.

The open call includes 4 fully funded PhD positions under the general call and 2 additional fully funded positions under the FIS2 2023-03382 COLLAGE Project, for a total of 6 funded places. The programme offers interdisciplinary training at the intersection of data science, economics, business, public policy, and digital innovation, with preparation for careers in academia, industry, and research institutions.

International applicants are encouraged to apply. The post does not list detailed eligibility criteria such as degree classification, language requirements, or GPA thresholds, so applicants should consult the official call documents and annexes for full admission rules and required materials.

Applications are submitted via the official PhD open-calls page for the programme. Review the English or Italian call documents, check the annexes, and follow the application instructions on the university website. Since the deadline is not stated in the post excerpt, applicants should verify the current closing date directly on the official page before applying.

Institution: Luiss Guido Carli University, Rome, Italy

Research focus: Data Science, Artificial Intelligence, Machine Learning, Statistics, Computational Social Science, Advanced Analytics

Funding: Fully funded / scholarship-supported PhD places

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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