Doctoral Student in Operational Decision Making with Data Science

Eidgenössische Technische Hochschule Zürich; Zürich; Vor Ort; CHF 50.000 - 70.000; Vollzeit

Zusammenfassung

ETH Zurich’s Decision Sciences and Analytics group invites applications for a Doctoral Student in Operational Decision Making with Data Science. The position focuses on experimental and causal evaluation methods for real-world online marketplaces, with opportunities to publish in top journals and guide research questions within data-driven decision making.

The role includes teaching and lab activities, with a starting date negotiable and an initial 18-month term extending to four to five years,

Qualifikationen

• Master’s degree in statistics, operations, economics, or related field (or soon completing).
• Strong analytical skills and motivation for policy-relevant research.
• Excellent verbal and written communication skills.
• Experience with real A/B testing is a plus.

Aufgaben

• Develop experimental and causal evaluation methods relevant to real business contexts.
• Collaborate with industrial partners to implement proposed methods.
• Write high-quality papers and publish in top-tier OM journals.
• Develop own research questions within data-driven decision making.

Kenntnisse

Statistics

Optimization

Stochastic modeling

Verbal communication

Written communication

A/B testing experience

Ausbildung

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

Jobbeschreibung

Doctoral Student in Operational Decision Making with Data Science

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.

• 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

Workplace

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

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.

We look forward to receiving your online application with the following documents:

• A letter of motivation that includes an explanation why you are interested in doing a PhD and fit for the position (within one page)
• A resume/CV
• Complete academic record with undergraduate and graduate courses and grades
• Contact of at least two references

Further information about Departmentcan be found on our Website .

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.