2026 PhD position at RPTU University Kaiserslautern-Landau

At the Chair of Data Analytics, we develop nonparametric Bayesian methods for copula-based endogeneity corrections in linear regression models. Our goal is clear: to free causal inference from restrictive distribution assumptions and develop methods that are both theoretically sound and practically applicable.

You will work on a DFG-funded research project on the methodological development of these approaches—from the theoretical foundation of new identification strategies to extensive Monte Carlo simulations and implementation in R packages. The project combines statistical theory, modern Bayesian methodology, and software development and is specifically geared toward publications in leading methodology journals. Such a position in a DFG project is not only excellent research practice, but also a real career booster—a strategically structured springboard to a doctorate with a clear research structure and excellent positioning for the international job market.

Your area of ??responsibility:

• Development of new copula-based endogeneity corrections for linear regression models using nonparametric Bayesian inference
• Design and implementation of Monte Carlo simulation studies to evaluate the methods
• Implementation of the methods as open-source R packages
• PhD with a focus on methodology – with the aim of publishing in statistical and econometric journals
• Pure research position: no teaching obligations
• A student assistant will support you in your research

Table of Content

• Summary
• Benefits
• Requirements
• Application Deadline
• How To Apply

Summary

• Application DeadlineFebruary 28, 2026
• Study LevelPhD
• SponsorRPTU University of Kaiserslautern-Landau
• City to studyRhineland-Palatinate
• School to studyRPTU University of Kaiserslautern-Landau
• Eligible CountryAll Countries

Benefits

• Health promotion
• Family Service Center
• Vocational Training
• Flexible working hour and home office
• Jobticket
• Retirement provision
• Sport & Fitness programms
• Culture & Leisure offers
• Local recreation in the Palatinate Forest

Requirements

• Relevant, successfully completed Bachelor’s and Master’s degree in statistics or econometrics (ideally with a focus on statistical method development and simulations)
• Very good programming skills in R – ideally experience with simulation studies and statistical software development
• Prior knowledge in at least one of the following areas: Bayesian statistics, nonparametric inference, copula theory, or causal inference
• Interest in the interface between statistical method development and economic applications
• Very good English skills (German skills are an advantage)

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship

Application Deadline

How To Apply

• Please submit your application via the Application portal.

For more information, kindly visit the RPTU University website.