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Decision Sciences● OpenPreview

Doctoral Student in Design and Analysis of Human-AI Systems

Join the Decision Sciences and Analytics group at ETH Zurich to research the design and analysis of human-AI systems.

Best for:Best for candidates with a strong background in applied mathematics, economics, or operations research and an interest in human-AI interaction.

ETH Zurich · Zurich, Switzerland · R1 · First-stage researcher
More professors at ETH Zurich
Human-AI InteractionMechanism DesignOperations ResearchDecision AnalysisOptimization
Deadline
—
Funding
Salaried
Gross salary in accordance with the regulations of ETH Zurich
Start date
Negotiable, ideally within six months
Fixed-term
Location
Zurich
Switzerland

Overview

The Decision Sciences and Analytics group at ETH Zurich is seeking a doctoral student to investigate the design and analysis of human-AI systems. This research focuses on developing AI systems that effectively integrate human roles, particularly in high-stakes environments such as clinical, legal, or educational settings. The work is primarily theoretical but will incorporate empirical field or lab experiments as required. The successful candidate will contribute to high-quality research, lab teaching, and master's thesis advising.

Human-AI SystemsDecision SciencesAI PolicyTheoretical ModelingEmpirical ResearchETH Zurich

What you'll do

  • Analyze AI systems involved in high-stakes or long-term impact decision-making processes.
  • Design AI systems to achieve efficient and reliable outcomes.
  • Author high-quality research papers for publication in top-tier operations management journals.
  • Collaborate with external organizations to evaluate research methods and findings.
  • Contribute to departmental lab responsibilities, including teaching and advising master's students.

Requirements

Degree required: Master’s degree in applied mathematics, economics, operations, or a closely related field.

Degree offered: PhD

Language: Excellent English proficiency.

Instruction: English

Required skills
  • Excellent academic record.
  • Strong analytical and modeling skills, specifically in optimization and mechanism design.
  • Excellent verbal and written communication skills.
  • Motivation to produce high-quality, policy-relevant research.
Nice to have
Industrial experience in AI deployment.

Funding & terms

Type
Salaried
Amount
Gross salary in accordance with the regulations of ETH Zurich
Duration
18 months initially, with prospect of extension to 4-5 years
Programme
ETH Zurich
ETH Zurich

How to apply

Applications must be submitted exclusively through the online portal. Please prepare a one-page letter of motivation, a CV, complete academic records, and contact information for at least two references.

Documents required
  • Letter of motivation
  • CV
  • Academic transcripts
  • 2 reference contacts
↗Apply on site

Contact

TN
Prof.
Tu Ni
Department of Management, Technology, and Economics
Lab
Decision Sciences and Analytics
ETH Zurich
Switzerland
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