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Die Philipps-Universität Marburg sucht einen engagierten Postdoc für ein spannendes Projekt zu großen Sprachmodellen in der psychologischen Forschung. Die Stelle soll am 1. Oktober 2025 beginnen und bietet Raum für unabhängige Forschung sowie die Möglichkeit zur Lehre. Das interdisziplinäre Team bietet starke Betreuung in einer gut ausgestatteten Forschungsumgebung mit flexiblen Arbeitszeiten.
registration number: fb04-0016-wmz-2025
Entry date:
2025-10-01
Application deadline:
2025-06-15
Salary:
E 13 TV-H
Duration:
4 years
Volume of employment:
full-time
The University of Marburg, founded in 1527, offers a variety of excellent programs of study for around 22,000 students and confronts the important topics of our time through excellent research across a broad spectrum of sciences.
The Department of Psychology, research group on “Psychological Methods”, PI: Prof. Dr. Daniel Heck, is currently accepting applications for a
Postdoc
The position is offered for a period of 4 years and is expected to start on October 1st, 2025. The position is full-time, with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13).
The project “Bridging the Gap Between Verbal Psychological Theories and Formal Statistical Modeling with Large Language Models,” funded by the Volkswagen Foundation, explores the use of Large Language Models (LLMs) as a tool in psychological research. The primary focus is on employing LLMs to bridge verbally formulated theories and constructs with statistical modeling and the quantitative analysis of empirical experiments. Using LLMs, stimuli such as words, sentences, and vignettes can be systematically generated to achieve a well-defined and higher variability of stimuli for empirical research. Additionally, LLMs are well-suited for coding stimulus materials and open-ended responses. As part of this project, robust workflows will be developed and evaluated to ensure that the application of LLMs in psychological research is valid, transparent, and reproducible.
Tasks: