Open positions with KCDS Supervisors
Please note: Here we post current job openings of our members. The positions advertised here are not directly affiliated with KCDS.
Doctoral and Postdoctoral Research Fellows - Focus on: Bayesian Statistics & Statistical Learning
Publishing date: April 8, 2025
Job description:
The Research Group Methods for Big Data at Karlsruhe Institute of Technology welcomes applications for a doctoral and postdoctoral research fellow.
In this project you will:
- develop novel statistical methods that leverage the potential of Bayesian statistics and machine learning
- investigate theoretical properties of the developed methods
- implement the developed methods
- contribute to joint research inside the group
- publish the results at leading journals, workshops and conferences
Details about the research group can be found at https://kleinlab-statml.github.io/
Personal qualification:
Job requirements:
- Excellent university degree (master) (and completed PhD for the postdoc position) in statistics, mathematics, data science, or statistics-oriented computer science
- Strong expertise in the theoretical and computational aspects of Bayesian statistics
- Profound expertise in at least one of the following areas (in addition to Bayesian statistics): High-dimensional statistics, Distributional and advanced regression, Survival analysis, Variational inference, Copula modelling
- Track record and excellent publications in at least one of the main research areas above (for the postdoc position)
- Strong computational, mathematical skills
- Solid programming skills in any scientific programming language, e.g. Python, R
- High proficiency in English, both written and spoken for your scientific publications and presentations
- High degree of creativity, commitment, analytical competence, and interdisciplinary teamwork
We are looking forward to your application. Please send your documents (Motivation letter / CV / Certificates / 2 Reference Letters / List of publications (for the postdoc position)) as a single pdf of no larger than 10 MB to nadja[dot]klein@kit[dot]edu.
Questions can be directed to Prof. Dr. Nadja Klein