The Dynamic and Distributed Information Systems Group at the University of Zurich is looking for motivated applicants who are interested in developing personalized news recommender systems using generative AI technology.

We are seeking Ph.D. students interested in investigating how such generative-driven recommendation systems can be developed and how they can adhere to fairness, accountability, trustworthiness, and transparency principles.

A first-class experimental recommender systems research infrastructure with a proven track-record of multiple premier outlet publications.
A highly exciting, timely, and societally important research topic
An outstanding technical infrastructure and technically experienced colleagues
A diverse and multi-disciplinary research group of highly motivated colleagues who are passionate about topics at the intersection of computer science, AI, and social science
Strong support for your professional/career development
Attractive work environment both within the research group and beyond: the University of Zurich is one of Switzerland's leading universities in the middle of a vibrant, cosmopolitan city that regularly ranks as one of the cities with the highest quality of life in the world.
Generous support for professional travel and research needs

The position is available for candidates interested in these topics, who have a MSc in Computer Science, Artificial Intelligence or a related discipline (or will be receiving it shortly), as well as a passion for discovering new things. Experience in the areas of recommender systems, artificial intelligence, natural language processing, and knowledge representation are considered a plus but are not strictly necessary.  

To apply, please gather your curriculum vitae, cover letter, all grade transcripts, a list of at least three references, and your BSc/MSc theses as PDF files and go to 

The University of Zurich is committed to enhancing the number of women in scientific positions and, therefore, particularly invites women to apply. Women who are as qualified for the position in question as male applicants will be given priority. 