Research Associate in Econometrics and Statistics (PhD Position)

Join a leading research group in Bayesian econometrics and financial econometrics at the University of Cologne.

Best for:Best for economists or statisticians with a strong background in econometrics, Bayesian methods, and programming (R or MATLAB).

University of Cologne · Cologne, Germany · R1 · First-stage researcher

More professors at University of Cologne

Bayesian econometricsFinancial econometricsMicroeconometricsMonte-Carlo Markov Chain methodsImportance Sampling

Deadline

Oct 18, 2026

3 days

Funding

—

3 years (with option for extension)

Start date

2027-02-01

Part-time

Location

Cologne

Germany

Overview

This PhD position at the University of Cologne offers the opportunity to contribute to cutting-edge research in Bayesian econometrics, financial econometrics, and advanced statistical methods. The successful candidate will work under the supervision of Professor Roman Liesenfeld, engaging in both research and teaching. The role is designed to support the completion of a doctoral dissertation while participating in administrative tasks and collaborative projects. Ideal candidates should have a strong academic background in economics or related fields, with expertise in econometrics and programming skills.

Bayesian methodsEconometricsFinancial econometricsMonte-Carlo simulationsStatistical modelingR programmingMATLAB programmingResearch in economics

What you'll do

Collaborate in research and teaching activities within the research group
Organize and coordinate administrative tasks to support research projects
Contribute to the development and completion of a doctoral dissertation
Participate in the development and execution of research methodologies
Engage in collaborative research projects and publish findings in academic journals

Requirements

Degree required: Master's degree in Economics, Statistics, or a related quantitative field with outstanding academic performance

Degree offered: PhD

Language: English; proficiency in written and spoken English required

Instruction: English

Required skills

Strong background in econometrics and statistics
Proficiency in Bayesian methods
Excellent programming skills in R or MATLAB
Fluency in written and spoken English

Nice to have

Experience with Monte-Carlo Markov Chain methodsExperience with Importance Sampling techniquesPublication record in relevant academic journals

Eligibility

No specific nationality or residency restrictions mentioned
No age restrictions mentioned

Funding & terms

Type

Unknown

Amount

—

Duration

3 years (with option for extension)

Programme

—

How to apply

Deadline: 2026-10-18

Applicants should submit their application materials, including detailed CV and proof of qualifications, through the University of Cologne job portal. The reference number for this position is Wiss2609-06.

Documents required