PhD Positions in Advanced Mathematical Statistics for Non-Euclidean Data Analysis

hace 1 semana


Madrid, Madrid, España Universidad Carlos Iii De Madrid And Karlsruhe Institute Of Technology A tiempo completo
Job Overview

Universidad Carlos III de Madrid and Karlsruhe Institute of Technology are seeking two PhD students to join their research team in the field of mathematical statistics with a focus on non-Euclidean data.

About the Project

The 'Stein-based goodness-of-fit Tests for Non-Euclidean Data' (STENED) project is a joint initiative between Universidad Carlos III de Madrid and Karlsruhe Institute of Technology. The project aims to develop cutting-edge mathematical statistics and computational methods for parametric and semiparametric distribution models defined on non-Euclidean supports.

Research Focus

The successful candidates will work on leveraging Stein's method to create an overarching inferential toolbox for non-Euclidean data analysis. They will develop novel statistical methodologies and apply them to real-world problems in collaboration with the project leaders, Dr. Bruno Ebner and Dr. Eduardo García Portugués.

Qualifications and Skills

To be eligible for this position, applicants must have a Master's degree in Mathematics, Statistics, or a comparable field. A strong academic record, high motivation, and excellent analytical skills are essential. Experience in programming languages such as Python or R is beneficial.

Salary and Benefits

We offer competitive salaries and benefits, including:

  • A gross yearly salary of €41,000 at Karlsruhe Institute of Technology
  • A gross yearly salary of €21,000 at Universidad Carlos III de Madrid
  • Funding for research stays at both institutions and other universities
  • An exciting working environment with motivated colleagues
How to Apply

Candidates should submit their CV, academic records, motivation letter, and a list of two referees to the respective contact persons before the application deadline. Shortlisted candidates will be invited for online interviews.



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