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

The International Society for Bayesian Analysis; Karlsruhe; On-site; EUR 40,500 - 49,500; Full time

Benefits offered by this job

Flexible working time models

Training opportunities

Job summary

A research institute in Karlsruhe is seeking a Postdoctoral Research Fellow focusing on Bayesian Statistics and Statistical Learning. You will develop and implement novel statistical methods, investigate their theoretical properties, and publish findings in top journals. Applicants should hold a PhD in a relevant field, possess strong programming skills in Python or R, and be proficient in English. The role offers flexible working hours and training opportunities.

Qualifications

• PhD in relevant field, with a strong background in Bayesian statistics.
• Strong computational skills and solid programming abilities.
• High proficiency in English for publications and presentations.

Responsibilities

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

Skills

Bayesian statistics

Machine learning

Python

R

High-dimensional statistics

Survival analysis

Variance inference

Advanced regression

Education

PhD in statistics, mathematics, or data science

Job description

Overview

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).

Responsibilities

• 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

Qualifications

• 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

What we offer

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

Application

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

Salary & Organization

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

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

Application deadline

Application up to 30.09.2024

Contact

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

Equal opportunity statement

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.