Postdoctoral Position in Computational Modelling: The Donders Centre for Cognition at Radboud University is inviting applications for a postdoctoral research position focused on the computational modelling of human speech recognition. This role offers a unique opportunity to develop a new Bayesian model to understand how variability in speech affects recognition processes.
Postdoctoral Position in Computational Modelling of Speech Recognition
Designation:
Postdoctoral Researcher
Table:
| Details | Information |
|---|---|
| Employment | 0.7 – 0.95 FTE |
| Gross Monthly Salary | € 4,537 – € 6,209 |
| Application Deadline | 23 January 2025 |
| First Interview Date | 7 February 2025 |
| Second Interview Date | 17 February 2025 |
| Preferred Start Date | 1 May 2025 |
Research Area:
Computational Modelling of Speech Recognition within the Sound Learning group, part of the Donders Centre for Cognition.
Location:
Radboud University, Nijmegen, Netherlands.
Eligibility/Qualification:
- PhD in psycholinguistics, cognitive science, psychology, linguistics, or a related field.
- Strong programming skills (Python, C++, or MATLAB).
- Excellent command of English (both spoken and written), with a good publication record preferred.
Job Description:
The postdoctoral researcher will collaborate with Prof. James McQueen and a PhD candidate on an NWO-funded project titled “Plugging talkers in: A new solution to the variability problem in human speech recognition.” Key responsibilities include:
- Building and testing a new Bayesian model of human speech recognition.
- Conducting word-learning experiments to validate the model.
- Co-supervising a PhD candidate involved in the experiments.
- Contributing to a collaborative research environment and engaging in scientific discussions.
How to Apply:
Interested candidates should apply via the application button provided on the university’s official page. Applications should be addressed to Prof. James McQueen, including required documents as listed in the application form.
Last Date for Apply:
23 January 2025
This is an excellent opportunity for motivated researchers eager to explore innovative approaches to understanding speech recognition. Join our dynamic team in an inspiring research environment!
