We are looking forward to *receiving* your application.

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• Fixed term employment for four years and a competitive salary according to Swiss National Science Foundation Guidelines, ca. 49’272.00 per annum before taxes, incl. social security contributions.

• Becoming a part of a dynamic and motivated research team within the framework of the Swiss National Science Foundation (SNF) funded project “UN-Popular: The Causes And Consequences Of Citizens’ Opposition To UN Peace Missions”.

• Work in an international and vibrant research community at the University of St. Gallen with connections to multi-disciplinary groups of world-class researchers.

• Participation in the “Doctorate of International Affairs” (DIA)-program.

• Opportunity to acquire a range of analytical and methods skills including in large-scale data management, text-as-data methods, and sophisticated quantitative data analysis.

• Travel budget for conference and short research stays in Switzerland and abroad.

• Possibility for remote work (outside term times).

• Possibility to apply for additional funding for research-related activities.

• A very good Master degree in a social sciences discipline incl., for example, political science, peace and conflict studies, economics, econometrics, research methods, sociology or psychology.
• Profound interest in the origins and consequences of popular opposition to international political authority including international peace operations.
• Enthusiasm for reading a large amount of research literature in the sub-fields of political science, communication science, psychology, and sociology.
• Proven skills in academic writing.
• Excellent knowledge of quantitative methods and methodologies and enthusiasm for deepening and expanding this knowledge.
• Very good to excellent command of at least one of the following statistical software programs—R, Stata and Python—and a willingness to learn R.
• Excellent command of English. Good working knowledge of French, Albanian and/or Serbian is an asset.

Application Material

• A short cover letter explaining your motivation and fit with the requirements (max. 1 page)
• A writing sample (e.g., your MA / MSc thesis or a paper form your MA / MSc studies)
• A CV
• BA/BSc and M /MSc degrees and transcripts
• If you receive an interview invitation, you will be asked to critically comment on the research proposal of the above mentioned SNF funded project “UN-Popular” and develop an outline of a research article manuscript based on this project (max. 3 pages).

The University of St. Gallen is an international research university in Switzerland. Students and faculty at the School of Economics and Political Science produce internationally excellent and practice-relevant research, which also thrives on interdisciplinary cooperation. As one of Europe’s leading places of education in economics and business administration, the University of St. Gallen is home to over 9500 students from 95 countries. St. Gallen is a medium-sized town with the a vibrant and diverse cultural scene. It is located about one hour from Zurich and about half an hour from Lake Constance by public transportation.

Further instructions and timeline

All application material should be submitted as one single file.

Please do not hesitate to contact Prof. Dr. Hannah Smidt to inquire more
details about the position. Please use the email address hannah.smidt.@unisg.ch.

Hiring decisions will be made on a rolling basis. Interviews are either
in-personat University of St. Gallen or online via MS Teams / Zoom.

The first round of interviews will take place from 10 to 15 June 2024. Hence,
please submit your applicationmaterials by 7 June 2024 (midnight) to be
considered for this first round.

If there is no suitable candidate in the first round, there will be a second
round of interviews. The interviews will take place from 15-19 July 2024.
Hence, please submit your application materials by 12 July 2024 (midnight) to
be considered for this round.

The earliest start date of the PhD position is 1 September 2024. Later start
dates are equally possible.