Doctoral Student in Design and Analysis of Human-AI Systems

About the role

The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zurich, is looking for a doctoral student to study the design and analysis of human-AI systems. The focus is on developing AI systems that understand and reshape the role of humans, in fields such as AI for clinical or legal decisions and AI for learning and education. The research is mainly theoretical, with empirical studies such as field or lab experiments when needed.

Key responsibilities

• Analyze AI systems where the decision is often high-stakes or has long-term impact
• Design AI systems that lead to efficient and reliable outcomes
• Write high-quality papers and publish on top-tier OM journals
• Work with external organizations to evaluate the methods if needed
• Contribute to lab responsibilities such as teaching and advising master theses

Required profile

• A Master's degree in applied mathematics, economics, operations or a closely related field, held or completed by the time of appointment
• Excellent academic record and motivation to produce high-quality, policy-relevant research
• Excellent verbal and written communication skills
• Industrial experience in AI deployment is a plus

Required skills

• Excellent analytical and modeling skills, including optimization and mechanism design

What we offer

• Starting date negotiable, ideally within six months
• Initial position of 18 months, with the prospect of extension to a four- to five-year doctorate depending on progress
• Gross salary in line with ETH Zurich regulations
• A high-quality PhD at a renowned institution in a dynamic, collaborative research environment

Applications must be submitted online through the university's application portal, with a one-page letter of motivation, a CV, a complete academic record and at least two references.