Doctoral Student in Operational Decision Making with Data Science
Join ETH Zurich to research experimental and causal evaluation methods for operational decision-making in online marketplaces.
Best for:Best for Master's graduates in statistics, operations, or economics with strong analytical skills and an interest in causal inference and experimentation.
Overview
The Decision Sciences and Analytics group at ETH Zurich, led by Prof. Tu Ni, is offering a doctoral position focused on operational decision making with data science. The successful candidate will develop novel experimental and causal methods for evaluating products, policies, and technologies within organizational and industrial contexts. Working closely with industry partners in online marketplaces, the researcher will implement these methodologies and contribute to top-tier operations management journals. Additionally, the role involves supporting light departmental duties such as teaching and lab activities.
What you'll do
- Develop new experimental and causal evaluation methodologies relevant to real business environments
- Collaborate directly with industrial partners on the practical implementation of developed methods
- Write high-quality academic papers for publication in top-tier operations management journals
- Formulate independent research questions within the broader scope of data-driven decision making
- Contribute to departmental tasks, including teaching support and laboratory activities
Requirements
Degree required: Master's degree in statistics, operations, economics, or a closely related field
Degree offered: PhD
Language: English; excellent verbal and written communication skills required
Instruction: English
- Strong academic record with demonstrated motivation for policy-relevant research
- Advanced analytics capabilities including statistics, optimization, and stochastic modeling
- Excellent verbal and written communication skills in English
- Must hold or be close to completing a Master's degree at the time of appointment
Funding & terms
How to apply
Prepare your application materials including a motivation letter, CV, academic transcripts, and reference contacts. Submit all documents exclusively through the ETH Zurich online application portal by the specified deadline. Email and postal submissions will not be reviewed.
- Cover letter
- CV
- BSc + MSc transcripts
- 3 reference letters
Contact
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