Overview
A 50% doctoral research-assistant position in economics within the EU Horizon Europe FAIRGEN project, focused on microsimulation, income distribution and intergenerational fairness.
Complete research opportunity details
The University of Liechtenstein seeks a research assistant / doctoral candidate starting 1 September 2026 or by agreement for an initial three-year appointment. Work includes empirical and econometric data analysis, development and use of microsimulation models, contributions to scientific publications and project reports, presentations at conferences and collaboration in the international FAIRGEN consortium. The university also describes flexible working arrangements and home-office possibilities.
Eligibility requirements
Applicants should hold a university degree in economics, statistics or a related field and have strong interest in empirical economic research. Knowledge of econometrics and empirical data analysis is required; experience with Stata is an advantage. Very good English is required and German is an advantage.
Tips for this phd opportunity
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Match your research background to the project, laboratory, supervisor and required methods rather than applying only from the title.
- Prepare a focused academic CV, transcripts, publications and research statement or proposal when requested by the official call.
- Confirm funding duration, stipend/salary, tuition coverage, start date and eligibility for international applicants.
- Contact a supervisor before applying only when the official instructions recommend or require it.
Verification notes
The current University of Liechtenstein vacancy index still lists this FAIRGEN doctoral research-assistant role and the official page links to a live online application form. The page says to apply as soon as possible but does not state a closing date, so no deadline was invented.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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