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Giuseppe F. Italiano

1 month ago

PhD in Data Science (Fully Funded) at Luiss Guido Carli University Luiss Guido Carli University in Italy

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

Italy

University

LUISS Guido Carli University

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Keywords

Computer Science
Data Science
Information Technology
Mathematics
Artificial Intelligence
Statistics
Study Research

About this position

Luiss Guido Carli University in Rome is advertising a PhD in Data Science with fully funded positions for the XLII cycle (a.y. 2026/2027). The opportunity is presented by Giuseppe F. Italiano, Deputy Rector and Professor of Computer Science at Luiss, and is aimed at outstanding, highly motivated candidates interested in advanced research.

The programme is centered on Data Science, with strong relevance to Computer Science, Statistics, Mathematics, and Information Technology. The post highlights research in challenging problems, collaboration with an international community, attendance at top conferences, and work in an interdisciplinary environment with connections to academia, industry, and public institutions. It also notes Luiss’s growing investment in research, internationalization, and artificial intelligence.

Funding information in the post indicates 6 fully funded PhD positions. The university open-calls page further specifies calls for places with scholarship within the PhD in Data Science, including places linked to the XLII cycle and a project-based call. This is a doctoral-level opening, not a postdoctoral or master’s call.

The application deadline stated in the post is 24 July 2026 at 16:00 CEST. Applicants should use the official Luiss open-calls page and the linked application portal to submit materials. The post does not mention any fee waiver, language-test waiver, or other special waiver.

Overall, this is a strong opportunity for candidates seeking a funded PhD in data science in Rome, especially those with interests in data-driven research, AI, and interdisciplinary computational methods.

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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