Pre-Doctoral Research Assistant Program
Two-year pre-doctoral research assistantship at the University of Zurich's Department of Economics.
Best for:Best for recent graduates in economics or related quantitative fields who want intensive research experience before applying to PhD programs.
Overview
The Department of Economics at the University of Zurich is offering a two-year pre-doctoral program for research assistants seeking to build research experience before pursuing doctoral studies. The position has a flexible start date and is open to candidates interested in any field within economics. Participants will work closely with faculty on empirical and theoretical economic research projects, gaining hands-on experience in data analysis, literature review, and academic writing. This program is designed to serve as a stepping stone toward competitive PhD admissions.
What you'll do
- Assist faculty members with ongoing research projects across various fields of economics
- Conduct literature reviews and synthesize academic findings
- Perform quantitative data analysis using statistical software
- Support the preparation of research papers, presentations, and reports
- Participate in departmental seminars and research group discussions
- Collaborate with PhD students and postdoctoral researchers on shared projects
Requirements
Degree required: Bachelor's or Master's degree in Economics or a related quantitative field
Instruction: English
- Strong quantitative and analytical skills
- Proficiency in at least one programming language used in economic research (e.g., R, Python, Stata)
- Solid foundation in microeconomics, macroeconomics, and econometrics
- Excellent written and verbal communication skills
Funding & terms
How to apply
Deadline: 2026-01-31
Applications are submitted through the Global Talent Common Application system. Interested candidates should prepare their application materials and apply before the January 31, 2026 deadline. The program uses a common application platform shared across multiple institutions.
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