Postdoctoral Research Fellow
– Focus on: Bayesian Statistics & Statistical Learning –
Job description:
The Research Group Methods for Big Data at Karlsruhe Institute of Technology welcomes applications for a 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 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
• 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) as a single pdf of no larger than 10 MB to nadja[dot]klein[at]kit[dot]edu.
Questions can be directed to Prof. Dr. Nadja Klein
www.scc.kit.edu/en/staff/nadja.klein.php
KIT – The Research University in the Helmholtz Association (www.kit.edu/english/)