Vacancy for a one-year post-doctoral researcher position
           at the Radboud University, Nijmegen, The Netherlands
     *** Computational modelling of human spoken-word recognition  ***

As a post-doctoral researcher, you will join the NWO-Vidi funded project
'Ignoring the merry in marry: The effect of individual differences in
attention and proficiency on non-native spoken-word recognition in noise'
headed by Dr. Odette Scharenborg. This project investigates the effect of
noise on non-native spoken-word recognition using a range of tasks tapping
into different processes underlying human spoken-word recognition, and the
effect of individual differences in attention and proficiency on
non-native spoken-word recognition in noise.

You will conduct research on or related to the computational modelling of
human spoken-word recognition. Research will focus on determining the best
method for the automatic classification of speech segments, building a
computational model of non-native human spoken-word recognition using Deep
Neural Networks, running simulations and comparing the model?s output with
existing human data. You will communicate your findings through papers in
peer-reviewed research journals and at international conferences.

What we expect:
- You hold a PhD in artificial intelligence, computer science,
computational (psycho)linguistics, or a related discipline
- You have a good knowledge of speech and human and/or automatic speech
processing
- You have experience with computational modelling
- You have experience with Deep Neural Networks
- You have a good command of spoken and written English
- You have multiple journal publications, two of which as a first author
- You are a team player who enjoys working with people from different
backgrounds

More information:
Odette Scharenborg
O.Scharenborg@let.ru.nl
http://odettescharenborg.ruhosting.nl

How to apply:
Please note: Only job applications uploaded via the university website are
taken into consideration. The job vacancy will soon become available via
http://www.ru.nl/werken/alle-vacatures/

The application should consists of:
-Motivation letter
-CV
-List of publications
-Names of two referents

Closing date: Sunday 20 November 2016.

Starting date: The preferred starting date is 1 January 2017.