Doctoral Student in Operational Decision Making with Data Science

ETH Zürich; Zürich; On-site; CHF 60,000 - 90,000; Full time

Job summary

ETH Zurich's Decision Sciences and Analytics group seeks a doctoral student to study operational decision making using data science. The role focuses on developing experimental and causal methods for robust evaluation of new products, policies, and technologies in modern organizational settings.

Collaboration with industrial partners in online marketplaces is emphasized. Candidates should hold a Master’s degree in statistics, operations, economics, or closely related fields, with strong

Qualifications

• Excellent academic results and motivation to produce high-quality, policy-relevant research.
• Hold (or will have completed at the time of appointment) a Master’s degree in statistics, operations, economics, or a closely related field.
• Have excellent analytics skills: statistics, optimization, stochastic modeling, etc
• Have excellent verbal and written communication skills

Responsibilities

• Develop new methods for experimental and causal evaluation that are relevant in real business
• Work with industrial partners on implementing the methods
• Write high-quality papers and publish on top-tier OM journals
• They will also have the opportunity to develop their own research questions within the broader topic of the data-driven decision making

Skills

Experimental design

Causal inference

A/B testing

Data analysis

Education

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

Job description

The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürichis seeking a doctoral studentto study operational decision making with data science.This position focuses on the development ofexperimental and causal methods for efficient and robust evaluation of new product, policy, and technology in modern operational context of organizations. The research is connected to several industrial partners in online marketplaces.

Job description

• Develop new methods for experimental and causal evaluation that are relevant in real business
• Work with industrial partners on implementingthe methods
• Write high-quality papers and publish on top-tier OM journals
• They will also have the opportunity to develop their own research questions within the broader topic of the data-driven decision making
• In addition to research activities, they will contribute to light tasks and responsibilities (e.g. teaching,lab activities)

Profile

• Excellent academic results and is motivated to produce high-quality, policy-relevant research
• Hold (or will have completed at the time of appointment) a Master’s degree in statistics, operations, economics, or a closely related field
• Have excellent analyticsskills: statistics, optimization, stochasticmodeling, etc
• Have excellent verbal and written communication skills
• Have experience in working on real A/B testing is a plus

We offer

• The starting date is negotiable
• The position is initially offered for 18 months, with the prospect of extension for four- to five-year duration of the doctorate, subject to satisfactory progress
• We offer the opportunity to pursue a high-quality PhD at a renowned institution and to work in a dynamic and collaborative research environment
• Gross salary will be in accordance withthe regulatons of ETH Zurich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture.

We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected.

Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising inscience and technology. We are renowned for our excellent education,cutting-edge fundamental research and direct transfer of new knowledgeinto society. Over 30,000 people from more than 120 countries find ouruniversity to be a place that promotes independent thinking and anenvironment that inspires excellence. Located in the heart of Europe,yet forging connections all over the world, we work together todevelop solutions for the global challenges of today and tomorrow.