The University of Copenhagen is offering a PhD fellowship in Interpretable Natural Language Processing, hosted by the Department of Computer Science’s Natural Language Processing Section. This three-year, full-time fellowship invites applicants who have a Master’s degree in Computer Science and a passion for making AI models more transparent and explainable.
Eligibility for this PhD fellowship at the university requires applicants to hold a master’s degree or equivalent in Computer Science or a related field. Candidates should demonstrate strong written and spoken English skills, relevant research experience in natural language processing (NLP) or machine learning (ML), and a keen interest in interpretable and explainable AI.Established in 1479, the University of Copenhagen (UCPH) is Denmark’s oldest and largest university and one of Europe’s premier research institutions. Known for its strong emphasis on research and education across diverse fields, UCPH ranks among the top universities globally, especially in science, humanities, health sciences, and social sciences.
Established in 1479, Københavns Universitet (University of Copenhagen) is a non-profit public higher education institution located in the urban setting of the large city of Copenhagen (population range of 1,000,000-5,000,000 inhabitants), Capital Region of Denmark. Officially accredited and/or recognized by the Uddannelses- og Forskningsministeriet (Ministry of Higher Education and Science, Denmark), Københavns Universitet (KU) is a very large (uniRank enrollment range: 35,000-39,999 students) coeducational higher education institution. Københavns Universitet (KU) offers courses and programs leading to officially recognized higher education degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 540 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International applicants are eligible to apply for enrollment.