Doctoral Student in Operational Decision Making with Data Science

Immigration Policy Lab; Zürich; Vor Ort; CHF 60.000 - 70.000; Vollzeit

Zusammenfassung

ETH Zurich invites applications for a Doctoral Student in Operational Decision Making with Data Science. The position is 100%, Zurich, fixed-term, initially 18 months with potential extension to four to five years for the doctorate.

The role involves developing experimental and causal methods for evaluating products, policies, and technologies in real-world organizational contexts, with industry partners. You will conduct research, write papers, and may contribute to teaching and lab activities.

Qualifikationen

• Master’s degree in statistics, operations, economics or closely related field.
• Excellent analytics skills: statistics, optimization, stochastic modeling.
• Excellent verbal and written communication skills.
• Experience in working on real A/B testing is a plus.

Aufgaben

• Develop new methods for experimental and causal evaluation relevant in real business.
• Collaborate with industrial partners on implementing the methods.
• Write high-quality papers and publish in top-tier OM journals.
• Develop research questions within data-driven decision making.
• Contribute to teaching, lab activities and light responsibilities.

Kenntnisse

Statistics

Optimization

AB testing

Ausbildung

Master’s degree in statistics, operations, economics

Jobbeschreibung

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 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 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
• 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 analytics 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

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 with the regulatons of ETH Zurich

Working, teaching and research at 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.

Further information about Department can be found on our Website. Questions regarding the position should be directed to Tu Ni, [e-mail] (no applications).

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.