PhD student

The PhD student will study the role of morphology in general and of morpho-acoustic cues in particular in speech comprehension by means of computational modeling. The focus of the project is on the investigation what properties a computational model of auditory word recognition needs to have in order to well simulate human listeners' processing of morphologically complex words. The computational models that will be considered are DIANA (ten Bosch et al., 2013, 2014, 2015) and Naïve Discriminative Learning (NDL, Arnold et al. 2017), since these two models represent very different types of processing and both can receive the speech signal, with morpho-acoustic cues, as their inputs. The results will reveal general properties of the speech comprehension process that are relevant for all theories of auditory word recognition.

This PhD project is part of the international 'Spoken Morphology' project at the Heinrich Heine Universitat (

We are looking for candidates with
- Master degree in Linguistics or in Artificial Intelligence;
- Clear interest in speech and language;
- Expertise in qualitative and/or quantitative research methods, preferably including large scale data analyses and statistical analyses;
- Effective verbal and written communicative skills in English.

Location: Radboud University, Nijmegen
Duration: 4 years
Envisaged starting date: February 1, 2019

Please send your motivation letter and extensive resume (including grades for all university courses) before 1 December 2018 to

Questions can be addressed to or

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