Ph.D. Opportunity: Advancing Fair and Transparent News Recommender Systems
In an era where digital news consumption shapes public opinion, the DDIS Group is pioneering research to make news recommender systems more diverse, fair, and user-centric. The group seeks motivated Ph.D. candidates to explore how modern technologies, including generative AI, can improve the societal aspects of news recommendations.
🔍 Research Focus
The selected candidate will engage in large-scale experiments to assess how societal-driven optimization criteria influence user satisfaction and consumption behavior. The research aims to balance technical innovation with behavioral insights, ensuring that recommender systems serve the broader interests of society.
🎓 Candidate Profile
Ideal applicants should possess:
- A Master’s degree (or near completion) in Human-Computer Interaction, Computer Science, Artificial Intelligence, or related fields.
- A keen interest in interdisciplinary research combining technical and behavioral studies.
- Experience in recommender systems or behavioral analysis is advantageous but not mandatory.
🌟 What the DDIS Group Offers
- Access to a state-of-the-art experimental recommender systems research infrastructure.
- Engagement with a diverse, multidisciplinary team passionate about AI and social science.
- Strong support for professional and career development.
- An attractive work environment at the University of Zurich, located in a vibrant city known for its high quality of life.
- Generous support for professional travel and research needs.
📄 Application Process
Interested candidates should prepare the following documents:
- Curriculum Vitae
- Cover Letter
- Academic Transcripts
- Contact Information for at least Three References
- BSc/MSc Theses (PDF format)
Applications are reviewed on a rolling basis. Early submission is encouraged. Apply through the official portal: DDIS Ph.D. Application.
👩🔬 Commitment to Diversity
The University of Zurich is dedicated to increasing the representation of women in scientific positions. Qualified female candidates are strongly encouraged to apply and will be given priority when equally qualified.
