PhD Student Position in the project “Meta-Uncertainty in Bayesian Model Comparison“ at University of Stuttgart

Posted at August 31, 2021
in Blog, Careers

The Cluster of Excellence “Data-Integrated Simulation Science” (EXC 2075) is an interdisciplinary research center with more than 200 scientists of different ages, gender identities, nationalities and different subject areas, jointly performing research towards a common goal: We target a new class of modeling and computational methods based on available data from various sources, in order to take the usability, precision and reliability of simulations to a new level. This is why we seek applicants from all parts of society. The open PhD student position is integrated into the Graduate School of the Cluster.

The position is fully paid and part of the project “Meta-Uncertainty in Bayesian Model Comparison” in the Junior-Research Group for Bayesian Statistics of Dr. Paul-Christian Bürkner at the Cluster of Excellence SimTech of the University of Stuttgart.

Your tasks:

Development of statistical methods to quantify (meta-)uncertainty in Bayes model comparison procedures
Execution of extensive simulations to evaluate the newly developed methods and compare them to competing approaches
Development of software to implement the new methods in open-source programming languages such as R or Python
Close cooperation with other scientists within the research group and at the Cluster of Excellence SimTech
Publication of research results in international scientific journals and conference proceedings
Active participation at national and international conferences

Your qualifications:

Degree in a field with strong quantitative focus (e.g., mathematics, computer science, biology, or psychology)
Strong interest in research questions focused on statistical modelling of complex data
Previous experience in applied statistics, mathematical statistics, or machine learning
Ideally previous experience in Bayesian statistics
Previous experience in at least one programming language common in quantitative fields (e.g., R, Python, Julia, or C++)
Previous experience in the probabilistic programming language Stan or another probabilistic programming language is an asset
Proficient English skills (spoken and written); German skills are not required
High amount of commitment, cognitive flexibility, as well as the ability to work both independently and in a team

Apply here

Deadline: September 19, 2021

Tags: Bayesian, Biology, C++, Careers, computer science, Julia, Mathematics, model comparison, PhD position, Psychology, Python, Simulation Science

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