Doctoral Student in Design and Analysis of Human-AI Systems
Join the Decision Sciences and Analytics group at ETH Zürich to research the theoretical and empirical design of high-stakes human-AI systems.
Best for:Best for candidates with a strong background in applied mathematics, operations research, or economics and a passion for theoretical AI modeling.
Overview
The Decision Sciences and Analytics group at ETH Zürich is inviting applications for a doctoral student position focused on the design and analysis of human-AI systems. The research will primarily involve theoretical modeling, with opportunities to conduct empirical field or lab experiments to evaluate system performance in high-stakes contexts such as clinical, legal, or educational settings. The successful candidate will contribute to the development of reliable AI systems while exploring the evolving role of human decision-makers. In addition to research, the role includes departmental responsibilities such as teaching and advising master's theses. This position offers a dynamic environment at a world-leading institution for a candidate motivated to produce policy-relevant research.
What you'll do
- Analyze AI systems involved in high-stakes decision-making processes with long-term societal impact.
- Design and model AI systems to ensure efficient, reliable, and ethical outcomes.
- Author high-quality research papers for publication in top-tier operations management journals.
- Collaborate with external organizations to conduct empirical evaluations of proposed methods.
- Contribute to departmental teaching activities and provide academic advising for master's students.
Requirements
Degree required: Master’s degree in applied mathematics, economics, operations research, or a closely related field.
Degree offered: PhD
Language: Excellent English proficiency.
Instruction: English
- Strong analytical and mathematical modeling skills.
- Proficiency in optimization techniques and mechanism design.
- Excellent verbal and written communication skills in English.
- Proven ability to produce high-quality, policy-relevant research.
- Must hold or be near completion of a Master’s degree at the time of appointment.
Funding & terms
How to apply
Applications must be submitted exclusively through the official ETH Zurich online portal. Candidates should prepare a one-page letter of motivation, a CV, complete academic transcripts, and contact information for at least two references.
- Letter of motivation
- CV
- Academic transcripts
- 2 reference contacts
Contact
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