Stellenangebot
PhD position in Statistics within RTG 2300 at Göttingen University
*Application deadline extended to May 21, 2023*
The Research Training Group (RTG) 2300 ‘Enrichment of European beech forests with conifers: impacts of functional traits on ecosystem functioning’ (EnriCo) at the Georg-August-University Göttingenin Germany, is currently inviting applications for
11 PhD Positions (f, m, d)
starting on October 1, 2023. The positions are funded by the German Research Foundation (DFG) for 3 years.
Subproject 10 of the RTG entitled ‘Semiparametric Regression’ (75 % TV-L E 13) is located in the Statistics and Econometrics group with Prof. Dr. Thomas Kneib. The general objective of this subproject is to develop flexible and practical forms of semiparametric regression models for the type of data collected within the RTG. A particular focus will be on spatial confounding and structural equation models as flexible tools for modelling complex relations in empirical data.
By the time of employment, the successful candidate will already have completed a very good M.Sc. degree in statistics, data science, computer science, mathematics or other areas related to the scientific work of the RTG with a strong focus on quantitative methods.
More details can be found here:
https://www.uni-goettingen.de/de/623417.html
The Research Training Group (RTG) 2300 ‘Enrichment of European beech forests with conifers: impacts of functional traits on ecosystem functioning’ (EnriCo) at the Georg-August-University Göttingenin Germany, is currently inviting applications for
11 PhD Positions (f, m, d)
starting on October 1, 2023. The positions are funded by the German Research Foundation (DFG) for 3 years.
Subproject 10 of the RTG entitled ‘Semiparametric Regression’ (75 % TV-L E 13) is located in the Statistics and Econometrics group with Prof. Dr. Thomas Kneib. The general objective of this subproject is to develop flexible and practical forms of semiparametric regression models for the type of data collected within the RTG. A particular focus will be on spatial confounding and structural equation models as flexible tools for modelling complex relations in empirical data.
By the time of employment, the successful candidate will already have completed a very good M.Sc. degree in statistics, data science, computer science, mathematics or other areas related to the scientific work of the RTG with a strong focus on quantitative methods.
More details can be found here:
https://www.uni-goettingen.de/de/623417.html