Funded PhD in Computer Science / AI and NLP at University of Tartu University of Tartu in

Funded PhD opportunity in Computer Science at the University of Tartu, Estonia, within the doctoral programme Mathematics and Computer Science. The linked curriculum highlights research specialisations in data science and AI, natural language processing, software engineering, programming languages and systems, security, theoretical computer science, and distributed systems.

The post is shared by Yousaf Bilal Khan and points to a funded doctoral opening in Estonia. The opportunity appears especially relevant for applicants with an MS in Information Systems, Computer Science, Public Administration, Management, Government Digital, or related fields. The University of Tartu page states that applicants need a master’s degree or equivalent qualification that corresponds to the Estonian master’s level, plus English language proficiency.

Applicants must apply with a specific thesis project from the set list of projects; self-proposed topics are not accepted during the main application period. The main intake is 1–15 May, and the university notes that some specialisations may also have intakes on 1–15 February, 15–30 September, or 15–30 November. The page also mentions that the application system opens on 15 May and that the application deadline for the main intake is 15 July on the curriculum page, while the post itself highlights the main admission period. Use the official open-calls information and DreamApply portal for the exact call you are targeting.

Required application materials include a motivation letter, CV, bachelor’s and master’s diplomas, diploma supplements/transcripts, and official English translations where needed. The motivation letter should explain your interest in the project, prior experience, analytical/scientific methods, MSc thesis methods and results, and any publications or conference presentations. Shortlisted candidates are invited to an interview, which may be online for international applicants.

This is a strong fit for students interested in AI, NLP, LLMs, RAG, data science, and digital government-related computing research. The post does not specify stipend amount or exact funding package, but it clearly labels the opening as funded.