Fully Funded PhD Positions in AI, NLP, Agentic Systems and Digital Humanities at the University of Ljubljana University of Ljubljana in United Kingdom

Open call for two fully funded PhD positions in AI, NLP, agentic systems, digital lexicography, and digital humanities at the University of Ljubljana, Slovenia, through the AI4DH centre and the ELEXAI project.

The positions are designed for candidates with a strong technical background who are interested in interdisciplinary research bridging computer science, artificial intelligence, natural language processing, and the humanities. Research topics include development of large language models and agentic interfaces for multilingual knowledge management, semantic data, evaluation datasets from lexical sources, digital lexicography, analysis of historical newspapers, data-driven folkloristics, and interpretation of generative AI in humanities contexts.

The work will be based at the Faculty of Computer and Information Science and involves collaboration with researchers from the Faculty of Arts and the Faculty of Social Sciences. The centre also supports AI literacy for SSH scholars and offers opportunities to contribute to teaching, training, and interdisciplinary support work.

Funding: the call states that the PhD study is fully funded for up to 3 years, with a starting gross monthly salary of EUR 3,549 (about EUR 2,200 net), plus daily food allowance, holiday allowance, travel reimbursement, and performance bonuses. The tuition fee for the PhD programme is covered.

Eligibility: applicants should have a Master’s degree or equivalent in computer science/informatics, another technically strong field, or social sciences with technical background. The call also asks for programming, data analysis, statistics/data science, teamwork, communication, organisational skills, interdisciplinary interest in digital humanities, and fluency in English.

Deadline: 22 May 2026, midnight CEST. Start date: from 1 September 2026, by agreement.

How to apply: prepare the AI4DH application form, motivation letter, academic CV, and proof of Master’s degree (plus optional recommendation letters). Send the documents in PDF by email to the listed recruitment address, with the supervisors copied and the required subject line.