PhD in International Business Taxation (Economics, Public Finance, Taxation) at WU Vienna

The Doctoral Program in International Business Taxation (DIBT) at WU Vienna University of Economics and Business offers a fully funded 3-year PhD opportunity for outstanding students in economics and related fields. The program focuses on public finance, international taxation, ESG and taxation, corporate tax incidence, minimum taxation, and applied microeconomics, with theory also welcome. DIBT is an interdisciplinary program combining public finance, international tax law, and cross-border tax management, and also incorporates perspectives from economic psychology, history, political science, ethics, and legal philosophy. Students benefit from an international cohort, research stays abroad, and access to excellent microdata. The faculty includes renowned scholars and visiting professors, ensuring high-quality academic education and research training. The program is taught entirely in English and is designed to prepare graduates for academic careers or specialized roles in national and international organizations. Applicants must hold a master's or equivalent degree in law, business, economics, psychology, or related disciplines with a strong background in taxation. The program is open to students from all countries. Admission is highly competitive, with only a small number of students accepted each year. Funding includes waived tuition fees and limited employment contracts with a gross salary of approximately €2,800 per month (about €39,000 per year), subject to tax and social insurance deductions. The next cohort starts in September 2026, and the application deadline is February 15, 2026. Applications are submitted online via the WU Vienna portal, and applicants must register with a valid email address (not a WU account email). For more information, visit the DIBT program website or contact the WU support hotline. This is an excellent opportunity for those interested in international business taxation, public finance, and related research areas.