Postdoctoral Research Fellow in Bayesian Statistics & Statistical Learning at Karlsruhe Institu[...]

The International Society for Bayesian Analysis; Karlsruhe; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

The Karlsruhe Institute of Technology seeks a Postdoctoral Research Fellow focused on Bayesian Statistics and Statistical Learning. This role involves the development of innovative statistical methods and contributions to significant research efforts within an agile team, offering extensive training opportunities and flexible work models.

Leistungen

Wide range of training opportunities

Flexible and family-friendly working time models

Qualifikationen

• Strong expertise in Bayesian statistics and machine learning.
• Track record of publications in research areas.
• High proficiency in English for publications.

Aufgaben

• Develop statistical methods leveraging Bayesian statistics.
• Investigate theoretical properties and implement methods.
• Publish results in leading journals and conferences.

Kenntnisse

Computational skills

Mathematical skills

Interdisciplinary teamwork

Ausbildung

PhD in statistics, mathematics, data science, or statistics-oriented computer science

Master's degree in relevant field

Tools

Python

R

Jobbeschreibung

Postdoctoral Research Fellow in Bayesian Statistics & Statistical Learning at Karlsruhe Institute of Technology

Aug 26, 2024

Postdoctoral Research Fellow (f/m/d)
– Focus on: Bayesian Statistics & Statistical Learning –

The newly established Research Group Methods for Big Data at the Karlsruhe Institute of Technology, Scientific Computing Center welcomes applications for a postdoctoral research fellow (f/m/d)

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

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 offer you an exciting and varied job within an agile team as well as a wide range of training opportunities and flexible and family-friendly working time models. For more information about SCC as your new work home, please visit https://www.scc.kit.edu/en/aboutus/working-at-scc.php

We are looking forward to your application (Motivations letter / CV / Certificates)!

Salary
Salary category 13, depending on the fulfillment of professional and personal requirements.

Organizational unit
Karlsruhe Institute of Technology
Scientific Computing Center (SCC)

Application up to
30.09.2024

Contact person in line-management
For further information, please contact Prof. Dr. Nadja Klein, E-Mail: [e-mail].

We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job.
Recognized severely disabled persons will be preferred if they are equally qualified.