Universidad Carlos III de Madrid and Karlsruhe Institute of Technology are seeking two fully-funded PhD fellows for the 'Stein-based goodness-of-fit TEsts for Non-Euclidean Data' (STENED) project.
Project Overview The STENED project aims to create an overarching inferential toolbox for parametric and semiparametric distribution models defined on non-Euclidean supports using Stein's method. The project is funded through the 'AEI-DFG Call for Joint Spanish-German Research Projects' and is jointly participated by the Karlsruhe Institute for Technology (KIT) and Universidad Carlos III de Madrid (UC3M).
Job Description We offer two 3-year PhD contracts with a possibility of an additional year extension, competitive salaries, and funding for yearly research stays at KIT and UC3M, and at other universities. The work locations are at the Institute for Stochastics (Karlsruhe, Baden-Württemberg, Germany) and the Department of Statistics (Leganés, Community of Madrid, Spain), respectively.
Responsibilities and Requirements Master's degree in Mathematics, Statistics, or comparable studies (or completion in 2024/2025).
Outstanding academic record.
High motivation.
We welcome applications from individuals of all backgrounds. Recognized severely disabled persons will be preferred if they are equally qualified.
How to Apply To apply, send your CV, academic records, motivation letter, and a list of two referrers to Bruno.Ebner@kit.edu and edgarcia@est-econ.uc3m.es before the application deadline on 15 November 2025.
We are an equal opportunities employer and prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.
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