Postdoctoral Position in Methodological and Computational Statistics (Prof. Davide Ferrari) Free University of Bozen - Bolzano in Italy

The Free University of Bozen - Bolzano invites applications for a postdoctoral position in Methodological and Computational Statistics, supervised by Professor Davide Ferrari. This opportunity is open to candidates with expertise in any area of methodological or computational statistics, including statistical modeling, advanced inferential techniques, and the integration of modern statistical methodologies with data-driven applications. The successful candidate will be expected to rigorously design and implement methodological approaches, critically evaluate statistical models, and apply advanced inferential techniques to real-world data. Proficiency in computational tools such as R or Python, as well as experience with reproducible research practices, is essential.

The postdoctoral role also includes teaching responsibilities at both undergraduate and graduate levels. This involves preparing and delivering lectures, tutorials, and practical sessions, as well as developing innovative teaching materials that effectively connect theoretical concepts with their computational implementation. The aim is to strengthen students’ analytical and applied skills in statistics.

The research fields relevant to this position include statistics, applied mathematics, computational mathematics, stochastics, and mathematical economics. The position is based at the Free University of Bozen - Bolzano, located in Italy, and offers a vibrant academic environment for interdisciplinary research and teaching.

Applicants must hold a PhD in statistics, mathematics, or a closely related field. Strong skills in methodological and computational statistics, proficiency in statistical programming languages such as R or Python, and experience with reproducible research practices are required. Teaching experience at undergraduate or graduate level is desirable. The application deadline is 22 June 2026 at 12:00 PM (noon). Candidates should submit their applications and publications online via the provided application link, following the instructions in Rector's Decree n. 583/2026. For further details, consult the website of the procedure.