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PhD Position (m/w/d)

PhD Position (m/w/d)

PhD Position (m/w/d)

PhD Position (m/w/d)

Universität St.Gallen (HSG)

Pharma, Medizintechnik

St. Gallen

  • Art der Beschäftigung: Vollzeit
  • 75.500 CHF – 93.000 CHF (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

PhD Position (m/w/d)

Über diesen Job

PhD Position (m/w/d)

80 % (ab 01.08.2026, befristet)

Your tasks

What to expect as a PhD student on this project:
  • You will conduct innovative and high-quality research on choice with costly learning.
  • You will have time dedicated to advancing your own independent research agenda.
  • You will actively contribute to the project's research activities, from developing theory, running experiments and evaluating data to the drafting and publishing of academic papers.
  • You will support the teaching initiatives of the team and contribute to the organization of occasional workshops.
  • You will be part of a vibrant research community in the institute and the department. You are expected to attend seminars, provide feedback on other's research, and contribute to the preparation of grant proposals.
  • The position is based in the beautiful city of St.Gallen, Switzerland, and requires regular presence at the department.
  • The start date is flexible, but no later than August 2026.

Project Overview:
We seek to better understand the interplay between choice, costly learning and personal preference traits. The main objectives of the project are:
  • Design and deploy an experimental protocol that allows us to measure perceived learning costs.
  • Implement the protocol in several choice experiments (both online and in the lab) to identify key features that drive the cost of learning.
  • Experimentally compare perceived versus experienced learning costs to uncover potential biases.
  • Develop numeric algorithms that efficiently determine the optimal rational inattentive choice for a range of learning cost functions.
  • Use these algorithms to simulate the behavioral impact of different cost functions in concrete settings, and compare it with documented patterns of behavior.
  • Identify how risk attitudes shape the agent's incentives to learn.

Your profile

Your profile:
  • A master degree (completed or near completion) in Economics or Mathematics, with a strong background in experimental economics, numerical methods and/or economic theory.
  • Enthusiasm and ambition for conducting high-quality research.
  • Hands-on experience with designing and running experiments (lab, online, or field) is highly desirable.
  • Ability to work independently, think creatively and contribute collaboratively in a dynamic team environment.
  • Effective written and verbal English-language communication and time management skills.

Compensation:
Compensation for this short-term position is based on the cantonal salary scales (Klasse F4.1).

How to apply
Applications should include a cover letter, two letters of reference, a curriculum vitae, and copies of grade transcripts and certificates (see also https://www.unisg.ch/en/studying/admission/admission-phd/economics-and-econometrics/). In the cover letter, briefly describe your research interests, your motivation for joining the project, and how your background fits the position. If you have any academic publications or working papers, please include a copy with your application. Please arrange for two letters of recommendation to be sent directly to Prof. Dr. Michèle Müller-Itten at michele.mueller-itten@unisg.ch .

Application Deadline
Review of applications will start on April 1st and continue until the position is filled. For further information about this position, please contact Prof. Michèle Müller-Itten
The Institute of Economic Research and Policy ( ERP-HSG ) at the University of St.Gallen is seeking a highly motivated PhD Assistant to work on the SNF-funded project "RIPE - Rational Inattention and Preference Elicitation”. The project is led by Prof. Dr. Michèle Müller-Itten. In this project, we combine experimental, numeric and theoretical methods to study the behavioral implications of flexible, costly learning.
We are looking forward to your online-application stating the job ID 2707

Gehalts-Prognose

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