Universität Wien
4 days ago
Predoctoral PhD Position in Law, Economics, and Innovation at the University of Vienna University of Vienna in Austria
Degree Level
PhD
Field of study
Computer Science
Funding
University assistant predoctoral employment at the University of Vienna for 4 years total, initially limited to 1.5 years and automatically extendable to 4 years if not terminated in the first 12 months. Basic salary is EUR 3,776.10 gross per month on a full-time basis, with possible increases for credited professional experience. Funding/support includes conference travel, data and computing resources, and internal training/coaching.
Deadline
Nov 8, 2026
Country
Austria
University
Universität Wien

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About this position
The University of Vienna is advertising a University assistant predoctoral position in the Research Unit Technology and Innovation Management at the Department of Accounting, Innovation and Strategy, Faculty of Business, Economics and Statistics.
The project centers on the Bürokratieindex (Bureaucracy Index) and the development of a novel, publicly visible dataset on regulatory burden. The successful candidate will help expand the data infrastructure for legal text analysis, regulation, innovation, and law and economics. Planned work includes building automated pipelines for collecting legal texts, extending coverage to EU and other countries, developing restrictiveness indicators, analyzing cross-reference networks in statutes, measuring amendment churn, and mapping regulatory text to sectors and industries.
The longer-term research agenda asks how regulatory burden affects innovation outcomes such as patenting, firm entry, R&D investment, and technology adoption. The role combines research, teaching, and administration, and the candidate is expected to complete a doctoral thesis/dissertation agreement within 12–18 months.
Eligibility highlights: completed Master's degree or Diploma in economics, management, data science, law, computational social science, or a closely related field by the start date; strong quantitative and data-management skills; proficiency in R and/or Stata plus SQL; web scraping/crawling experience is highly relevant; NLP experience is a strong plus; network analysis is welcome; excellent English (C1).
Funding: employment under the University of Vienna collective agreement with a basic salary of EUR 3,776.10 gross/month on a full-time basis, plus possible increments for prior experience. The university also mentions conference travel support, data and computing resources, and internal training/coaching.
Application: apply through the University of Vienna job portal. Prepare a scientific CV, motivation letter, Master's degree/diploma, and transcripts. Deadline: 08.11.2026. Contact: Stefan Wagner ([email protected]).
Funding details
University assistant predoctoral employment at the University of Vienna for 4 years total, initially limited to 1.5 years and automatically extendable to 4 years if not terminated in the first 12 months. Basic salary is EUR 3,776.10 gross per month on a full-time basis, with possible increases for credited professional experience. Funding/support includes conference travel, data and computing resources, and internal training/coaching.
What's required
Completed Master's degree or Diploma in economics, management, data science, law, computational social science, or a closely related field by the start date; strong quantitative and data-management skills; proficiency in R and/or Stata and SQL; experience with web scraping and crawling is highly relevant; experience with natural language processing is a strong plus; familiarity with network analysis is welcome; ability to work independently; excellent written and spoken English at C1 level; genuine interest in the intersection of law and economics and how regulation shapes innovation.
How to apply
Apply via the University of Vienna job portal using the Apply now button. Submit a scientific CV, motivation letter, Master's degree or diploma, and Master's transcripts. For questions, contact Stefan Wagner by email.
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