The University of Stavanger is inviting applications for a PhD Fellowship in Large Language Models for Recommendation at the Faculty of Science and Technology. This program aims to enhance the field of personalized recommendation systems by utilizing advanced natural language processing techniques.
To be eligible for the PhD fellowship, applicants must hold a five-year master’s degree in computer science or a related field, preferably obtained recently. Candidates specializing in information retrieval, natural language processing, or recommender systems will be prioritized. Additionally, applicants must achieve a minimum B grade for both their master’s thesis and the overall weighted average of their master’s degree.The University of Stavanger (UiS) is a prominent research university located in Norway, known for its innovative approaches to education and strong emphasis on research and collaboration with industry. Established in 2005, UiS offers a diverse range of undergraduate and postgraduate programs across various fields, including science, engineering, social sciences, and humanities. The university has gained a reputation for its cutting-edge research in artificial intelligence, energy, and the social sciences, supported by state-of-the-art facilities and a vibrant academic community.
Established in 1994, Universitetet i Stavanger (University of Stavanger) is a non-profit public higher education institution located in the suburban setting of the large town of Stavanger (population range of 50,000-249,999 inhabitants), Rogaland. Officially accredited and/or recognized by the Kunnskapsdepartementet, Norge (Ministry of Education, Norway), Universitetet i Stavanger (UiS) is a large (uniRank enrollment range: 10,000-14,999 students) coeducational higher education institution. Universitetet i Stavanger (UiS) 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 25 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.