Research assistent

Radboud Universiteit Nijmegen; Nijmegen; On-site; EUR 36,000 - 46,000; Part time

Job summary

Radboud Universiteit Nijmegen invites applications for a Research Assistant position at the Donders Centre for Cognition: Computational Modelling and Scientific Software. The role is a 0.6 FTE with a gross monthly salary of €3,202 – €4,159, within the Faculty of Social Sciences.

The successful candidate will contribute to the Bamojax project, a Python toolbox for Bayesian modelling and model comparison, and work with the team to integrate Bayesian multiverse tools across empirical research areas.

Responsibilities

• Implement advanced Bayesian model comparison methods in JAX.
• Develop efficient search procedures for model variants.

Job description

Omschrijving functie

- Research Assistant at the Donders Centre for Cognition: Computational Modelling and Scientific Software Employment 0.6 FTE Gross monthly salary € 3,202 - € 4,159 Required background Research University Degree Organizational unit Faculty of Social Sciences Application deadline 23 October 2026

Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses, applicable across empirical research domains. The position offers the opportunity to work on the combination of state-of-the-art scientific computing and Bayesian statistics, and to contribute to an open-source scientific software library. We are looking for a research assistant to contribute to the development of bamojax (Bayesian modelling in JAX), our open-source Python toolbox for Bayesian modelling and model comparison. Throughout your employment, you will have the opportunity to work with others within our group to see what modelling choices they make, and how our new Bayesian multiverse tools can help with this. There will be weekly meetings with the PI to discuss the project's progress and next steps, as well as bi-weekly lab meetings.

You will have two core tasks. The first is to implement advanced methods for Bayesian model comparison in JAX. These techniques will then be used to systematically explore alternative models for user-defined statistical problems. The second task is to construct an efficient search procedure for variants of a given model.

Portret Inti Brazil At Radboud University, I have the opportunity to concentrate on important topics like diversity and inclusion. Inti Brazil Associate Professor of Neuropsychology and Rehabilitation Psychology Inti Brazil is Associate Professor of Neuropsychology and Rehabilitation Psychology and is one of the first members of the Radboud Young Academy. "I ...