Doctoral Student in Operational Decision Making with Data Science

Master in Integrated Building Systems ETH Zürich; Zürich; Vor Ort; CHF 55.000 - 75.000; Vollzeit

Zusammenfassung

ETH Zurich is seeking a doctoral student to study operational decision making with data science. The position focuses on developing experimental and causal methods for robust evaluation of new products and technologies in real business contexts.

Applicants should hold a Master’s in statistics, operations, economics, or related field and have strong analytics skills. The role includes teaching and lab activities, with a starting date negotiable and an initial 18-month term, potentially extending

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 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
• Develop research questions within the broader topic of data-driven decision making
• Contribute to light tasks and responsibilities (e.g. teaching, lab activities)

Kenntnisse

Statistics

Optimization

Stochastic modeling

A/B testing

Ausbildung

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

Tools

R

Python

Jobbeschreibung

100%, Zurich, fixed-term

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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

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

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.

Curious? So are we.

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.