Doctoral Student in Operational Decision Making with Data 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

Doctoral Student in Operational Decision Making with Data Science

100%, Zurich, fixed-term

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

Job description

• Develop new methods for experimental and causal evaluation that are relevant in real business
• Write high-quality papers and publish on top-tier OM journals
• Work with industrial partners on implementing the methods if needed
• 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

• Hold (or will have completed at the time of appointment) a Master’s degree in statistics, operations, economics, or a closely related field
• Excellent academic records and is motivated to produce high-quality, policy-relevant research
• Have excellent quantitative skills: statistics, optimization, stochastic modeling, 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 with the regulations 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.

Curious? So are we.

Questions regarding the position should be directed to Tu Ni, [e-mail] (no applications).

Further information about Department can be found on our Website.

About ETH Zürich

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