Professorship (Open Rank) in Responsible and Trustworthy AI

Professorship (Open Rank) in Responsible and Trustworthy AI

The position can be filled at any level (Assistant with Tenure-Track, Tenured Associate or Full Professor), starting at the earliest in Fall 2025.
Candidates applying for Assistant Professorship shall hold, at the time of appointment, a Ph.D. degree in computer science, artificial intelligence, information systems, or a related field. Candidates shall have an excellent record of academic achievements in the relevant fields. In addition, candidates applying for Associate or Full Professorship shall demonstrate excellent teaching abilities at both the undergraduate and graduate levels.

The successful candidate is expected to conduct research in any (but not limited to) of the following broad areas:
Human-AI Interaction: Research on how AI systems relate to and impact users and their behavior. This includes understanding human interaction and collaboration with AI as well as devising and investigating user-centered AI solutions that behave in trustworthy, verifiable, and explainable ways.
AI and System Design: Research on the development of AI and machine learning models, focusing on system robustness, efficiency of energy consumption and resource utilization, fairness, accountability, transparency, security, or other pertinent system metrics whilst exploring its theoretical foundations and guarantees. This also includes methods for bias mitigation, interpretability, and the design of technically sound AI systems.
Societal/Ethical Impact of AI: Research focused on detecting, quantifying, and forecasting societal challenges driven by AI, such as inequality, bias, appropriate reliance, trust, and misinformation. This includes investigating currently deployed AI systems and developing systems with mitigation strategies to address these problems and ensure AI contributes positively to society. This area also covers the development of knowledge to inform regulations and policies, and the societal considerations for responsible AI deployment.
The ideal candidate will explore AI from both technical and human-oriented perspectives, ensuring that their work contributes to the creation of AI systems that are trustworthy and aligned with human values.
Research areas should ideally encompass technical innovations and generation of knowledge to inform tackling of ethical, societal, and governance challenges related to AI deployment.

The performance evaluation will be undertaken in line with DORA and the Open Science Policy of the University of Zurich.
Through its educational and research objectives, the University of Zurich attracts leading international researchers who are willing to contribute to its development and to strengthening its reputation as a future-oriented university with excellence in research, promotion of young researchers, and innovative research-based teaching. The University of Zurich is an equal opportunity employer and strives to increase the percentage of women in leading positions. Therefore, qualified female researchers are encouraged to apply.
Your application must include: (1) motivation letter, (2) CV, (3) publication list, (4) research statement, (5) teaching statement, (6) a diversity and inclusion statement, and (7) a list of three (assistant professor level) to five (tenured level) references who are ready to supply a letter upon request and who have no conflict of interest with you (e.g., no subordination such as employment, supervision, or PhD committee; no co-authorship and no joint research projects in the last five years; no lineal or collateral kinship). Please upload your application material by 20th April, 2025 here.
Documents should be addressed to Prof. Dr. Harald Gall; Dean of the Faculty of Business, Economics and Informatics; University of Zurich; Switzerland.