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:
1. Development of new copula-based endogeneity corrections for linear regression models using nonparametric Bayesian inference
2. Design and implementation of Monte Carlo simulation studies to evaluate the methods
3. Implementation of the methods as open-source R packages
4. PhD with a focus on methodology – with the aim of publishing in statistical and econometric journals
5. Pure research position: no teaching obligations
6. A student assistant will support you in your research
Your requirements profile:
7. Relevant, successfully completed Bachelor’s and Master’s degree in statistics or econometrics (ideally with a focus on statistical method development and simulations)
8. Very good programming skills in R – ideally experience with simulation studies and statistical software development
9. Prior knowledge in at least one of the following areas: Bayesian statistics, nonparametric inference, copula theory, or causal inference
10. Interest in the interface between statistical method development and economic applications
11. Very good English skills (German skills are an advantage)
We offer:
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
RPTU stands for diversity among all employees. We welcome applications from all interested parties, regardless of their ethnic and social origin, age, religion, gender, disability and sexual orientation or identity. Preference will be given to severely disabled persons and persons equivalent to them if they have the appropriate qualifications and suitability.
The RPTU aims to increase the proportion of women in areas where women are underrepresented. The position can also be filled on a part-time basis.