Doctoral Student in Operational Decision Making with Data Science
Pursue a PhD at ETH Zurich focusing on data-driven operational decisions and causal evaluation methods.
Best for:Best for quantitative graduates with a strong background in statistics, operations research, or economics, and an interest in data-driven decision making.
Overview
ETH Zurich invites applications for a doctoral student position focusing on operational decision making combined with data science. The successful candidate will build experimental and causal evaluation methods to study data-driven operational decisions in collaboration with industry partners. The research involves working with advanced analytics, statistics, and optimization techniques. Candidates are expected to hold a relevant master's degree and demonstrate strong analytical skills.
What you'll do
- Develop and apply experimental and causal evaluation methods for operational decisions
- Collaborate with industry partners on real-world data science problems
- Analyze complex datasets using advanced statistical and analytical techniques
- Contribute to academic research publications and present findings at international conferences
- Participate in doctoral coursework and academic activities within the department
Requirements
Degree required: MSc in Statistics, Operations Research, Economics, Computer Science, or equivalent
Degree offered: PhD
Language: English proficiency for academic research and writing
Instruction: English
- Strong foundation in statistics, operations, or economics
- Demonstrated strength in data analytics and quantitative methods
- Programming skills suitable for data analysis and modeling
Funding & terms
How to apply
Interested candidates should submit their application materials through the designated manual or online application channel as provided by ETH Zurich. Ensure all required academic and personal documents are included in the submission package.
- CV
- Academic transcripts
- Cover letter
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