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Matteo Iacopini

4 months ago

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

Degree Level

PhD

Field of study

Computer Science

Funding

Six three-year PhD positions are fully funded. The open calls page also indicates places with scholarship within the PhD in Data Science XLII cycle (a.y. 2026/2027).

Deadline

Expired

Country flag

Country

Italy

University

LUISS Guido Carli University

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Keywords

Computer Science
Data Science
Mathematics
Statistics

About this position

Luiss University in Rome is inviting applications for PhD positions in Data Science within the Department of AI, Data and Decision Sciences. The call is for six fully-funded PhD positions lasting three years, with programme start in October 2026.

The research areas highlighted in the announcement include computer science, mathematics, statistics, and related quantitative disciplines. This is a strong fit for applicants interested in data-driven methods, computational approaches, statistical modelling, and interdisciplinary quantitative research.

The open calls page for the PhD in Data Science at Luiss Guido Carli also lists scholarship-supported places within the XLII cycle (a.y. 2026/2027), including calls published in both Italian and English. Applicants should review the official call documents and annexes carefully to confirm eligibility, required materials, and the exact application procedure.

Eligibility highlights: a strong background in computer science, mathematics, statistics, or other quantitative disciplines is particularly welcomed. The post does not mention language-test waivers or fee waivers.

Deadline: 24 July 2026, 16:00 CEST (UTC+2).

How to apply: Use the linked application page and follow the instructions in the official call and annexes. Submit all required documents before the deadline.

Funding details

Six three-year PhD positions are fully funded. The open calls page also indicates places with scholarship within the PhD in Data Science XLII cycle (a.y. 2026/2027).

What's required

Applicants should have a strong background in computer science, mathematics, statistics, or other quantitative disciplines. The call is for PhD-level study in Data Science and is open to candidates interested in related research areas.

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Professors

Tenure-Track Assistant Professor in Statistics

University Name
Country flag

Italy

Research Interests

Statistics

Mathematics

Data Science

Computer Science