Doctoral Student in Operational Decision Making with Data Science — ETH Zürich

NewCHF 73'500 - 111'500
ETH Zürich · Zurich (ZH)
Categoria: Ricerca Contratto: fixed-term Salario: CHF 73'500 - 111'500
Apply now
Location
Zurich
Contract
fixed-term
Posted
Yesterday
SalaryCHF 73'500 - 111'500

Role overview

Doctoral Student in Operational Decision Making with Data Science

100%, Zurich, fixed-term print Drucken

The Decision Sciences and Analytics group, led by Prof.

Main responsibilities

  • 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 chevron_right
  • Working, teaching and research at ETH Zurich We value diversity and sustainability

Application process

  • 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
  • Please note that we exclusively accept applications submitted through our online application portal.
  • 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.

Contacts

  • Applications via email or postal services will not be considered. About ETH Zürich of at least two references
  • Further information about Department can be found on our Website .
  • Questions regarding the position should be directed to Tu Ni, [email protected] (no applications).

Company and context

  • 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

Additional details

  • 100%, Zurich, fixed-term
  • The research is connected to several industrial partners in online marketplaces.
  • In addition to research activities, they will contribute to light tasks and responsibilities (e.g. teaching, lab activities)
  • Have experience in working on real A/B testing is a plus The starting date is negotiable
  • Gross salary will be in accordance with the regulatons of ETH Zurich
  • Working, teaching and research at ETH Zurich We value diversity and sustainability
  • A letter of motivation that includes an explanation why you are interested in doing a PhD and fit for the position (within one page) Contact of at least two references
  • Applications via email or postal services will not be considered.
  • cutting-edge fundamental research and direct transfer of new knowledge
  • environment that inspires excellence. Located in the heart of Europe,

Notes and original content

  • Job description
  • Have experience in working on real A/B testing is a plus
  • The starting date is negotiable
  • chevron_right
  • Working, teaching and research at ETH Zurich
  • We value diversity and sustainability
  • 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
  • Contact of at least two references
  • About ETH Zürich
Apply now

Questions about this listing

What salary does ETH Zürich offer for this role?

ETH Zürich lists CHF 73'500 - 111'500 gross per year for this position in Zurich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.

Is this a full-time role, and what type of contract does ETH Zürich offer?

This listing is a fixed-term contract position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with ETH Zürich during the application process, since these details can vary by role even within the same contract category.

Do I need a cross-border work permit for a role in Zürich?

EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.

How do I apply for this position at ETH Zürich?

Use the "Apply now" button on this page — it links directly to ETH Zürich's original listing at jobs.ethz.ch, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.

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ETH Zürich · Zurich
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