professor profile picture

Gabriele LENZINI

Prof. Dr. at University of Luxembourg

University of Luxembourg

Country flag

Luxembourg

Has open position

This profile is automatically generated from trusted academic sources.

Google Scholar

.

ORCID

.

LinkedIn

Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI

Contact this professor

LinkedIn
ORCID
Google Scholar

Research Interests

Cybersecurity

20%

Cloud Computing

20%

Misinformation

20%

Python Programming

20%

Political Science

20%

Computer Science

20%

Data Science

20%

Ask ApplyKite AI

Start chatting
How can you help me contact this professor?
What are this professor's research interests?
How should I write an email to this professor?

Positions2

Publisher
source

Gabriele LENZINI

University Name
.

University of Luxembourg

Doctoral researcher in Computational Social Science

The University of Luxembourg, a leading international research university, is seeking a Doctoral researcher in Computational Social Science. The position is based at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Interdisciplinary Research in Sociotechnical Cybersecurity (IRiSC) Team. Supervised by Prof. Dr. Gabriele LENZINI, the successful candidate will contribute to the FNR-funded CLARITY project, which focuses on community-led analysis and reporting to improve trust and transparency in online information. The research will center on developing AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking. The candidate will design and evaluate methods to enhance the robustness of algorithms used in these systems, collaborating with interdisciplinary researchers across cybersecurity, social sciences, and artificial intelligence. The role also involves publishing research findings in top-tier scientific conferences and peer-reviewed journals. Applicants should possess an MSc degree or equivalent in Computer Science, Information Systems, Data Science, or a related field. Essential skills include strong programming abilities (Python, machine learning frameworks, data analysis tools), analytical thinking, and problem-solving. Experience with social media research or large language models is advantageous. Candidates must demonstrate at least B2-level proficiency in the language of their thesis, with accepted certificates as specified by the university. The University of Luxembourg offers a modern, dynamic, and inclusive research environment, with staff from over 90 countries and strong links to professional sectors and the Luxembourg labour market. The position is a fixed-term contract for 36 months, full-time (40 hours per week), located at the Kirchberg Campus. The yearly gross salary for Doctoral researchers is EUR 41976. To apply, candidates should submit their application online through the HR system, including a CV, cover letter, transcript, two letters of recommendation, and three research questions related to community-based fact-checking or LLMs as fact-checkers. Early applications are encouraged, as applications will be processed upon reception. The University promotes an inclusive culture and encourages applications from individuals of all backgrounds. For further details and to apply, visit the application link provided. Applications by email will not be considered.

Publisher
source

Gabriele LENZINI

University Name
.

University of Luxembourg

Doctoral researcher in Computational Social Science

The University of Luxembourg, a leading international research university, is seeking a Doctoral researcher in Computational Social Science. The position is based at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Interdisciplinary Research in Sociotechnical Cybersecurity (IRiSC) Team. The successful candidate will be supervised by Prof. Dr. Gabriele LENZINI, Chief Scientist at SnT/UL and Associate Professor at the University of Luxembourg. This doctoral opportunity is part of the FNR-funded project CLARITY (Community-Led Analysis and Reporting to Improve Trust and Transparency), focusing on misinformation and disinformation. The research will involve developing AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking, designing and evaluating methods to improve the robustness of algorithms used in community-driven fact-checking systems, and collaborating with interdisciplinary researchers across cybersecurity, social sciences, and AI. The candidate will be expected to publish research findings in top-tier scientific conferences and peer-reviewed journals. Applicants should hold an MSc degree or equivalent in Computer Science, Information Systems, Data Science, or a related field. Essential skills include strong programming abilities (Python, machine learning frameworks, data analysis tools), analytical thinking, and problem-solving. Experience with social media research or large language models is advantageous. Candidates must demonstrate at least B2-level proficiency in the language of their thesis, with accepted certificates as specified by the university. The University of Luxembourg offers a modern, dynamic, and inclusive research environment, with staff from over 90 countries and strong links to professional sectors and the Luxembourg labour market. The position is a fixed-term contract for 36 months, full-time (40 hours per week), located at the Kirchberg Campus. The yearly gross salary for Doctoral researchers is EUR 41976. To apply, candidates should submit their application online through the HR system, including a CV, cover letter (with background and research experience), transcript of university-level courses, two letters of recommendation, and three research questions related to community-based fact-checking or LLMs. Early application is encouraged as applications are processed upon reception. Applications by email will not be considered. The University of Luxembourg promotes an inclusive culture and encourages applications from individuals of all backgrounds, upholding equality and respect for employees and students.