PhD in Data-Driven Operations & Decision Science

1000scholars; Zürich; On-site; CHF 47,000 - 60,000; Full time

Job summary

ETH Zurich invites applications for a Doctoral Student in Operational Decision Making with Data Science. The role focuses on developing experimental and causal methods for evaluating new products, policies, and technologies in real-world operations.

You will join the Decision Sciences and Analytics group, collaborate with industrial partners, contribute to teaching and lab activities, and pursue a high-quality PhD at a leading European institution.

Qualifications

• Hold a Master’s degree in statistics, operations, economics, or a closely related field.
• Excellent academic records and motivation to produce policy-relevant research.
• Strong quantitative skills: statistics, optimization, stochastic modeling.
• Excellent verbal and written communication skills.
• Experience with real A/B testing is a plus.

Responsibilities

• Develop new methods for experimental and causal evaluation applicable to real business.
• Write high-quality papers and publish in top-tier OM journals.
• Collaborate with industrial partners to implement methods when needed.
• Explore research questions within data-driven decision making; contribute to teaching and lab activities.

Skills

Statistics

Optimization

Stochastic modeling

Communication

A/B testing

Education

Master's degree in statistics, operations, economics, or related field

Job description

ETH Zurich invites applications for a Doctoral Student in Operational Decision Making with Data Science. The role focuses on developing experimental and causal methods for evaluating new products, policies, and technologies in real-world operations.

You will join the Decision Sciences and Analytics group, collaborate with industrial partners, contribute to teaching and lab activities, and pursue a high-quality PhD at a leading European institution.