Doctoral Research Assistant — Digital Markets & Media Analytics

Christian Peukert

Lausanne

On-site

CHF 60,000 - 80,000

Full time

14 days+

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Job summary

Christian Peukert at the University of Lausanne is seeking a candidate for a position focused on doctoral studies and teaching related to digital media consumption. Responsibilities include collaborating on an SNSF-funded project and working with large datasets in various media industries.

The candidate should have a Master's degree in a relevant field and a strong interest in media markets, with a robust background in quantitative methods and English proficiency.

Qualifications

  • Master's degree in Economics, Marketing, Information Systems, Management, Computer Science, Business Analytics, or a related field.
  • Strong interest in media markets such as music, video games, movies, books, comics, and related cultural industries.
  • Strong background in statistics, econometrics, machine learning, or related quantitative methods.
  • A quantitative marketing background is particularly welcome.
  • Strong interest in digitization, platforms, consumer behavior, and the economics of media and cultural goods.
  • Very good skills in English.
  • The candidate must be serious, precise, independent, and diligent.
  • Strong ambition to pursue a career in academia.

Responsibilities

  • At least 50% of the position will be dedicated to doctoral studies, and up to 50% to teaching and research support.
  • Contribute to an SNSF-funded project on how digitization has changed the consumption of media and cultural goods.
  • Work with very large individual-level consumption datasets in music, video games, books, and related media and cultural industries.
  • Collaborate closely with a research team at the University of Warsaw.

Job description

Christian Peukert at the University of Lausanne is seeking a candidate for a position focused on doctoral studies and teaching related to digital media consumption. Responsibilities include collaborating on an SNSF-funded project and working with large datasets in various media industries.

The candidate should have a Master's degree in a relevant field and a strong interest in media markets, with a robust background in quantitative methods and English proficiency.

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