Posted on: 
November 16, 2020

The research group Language Cycles at the MPI for Human Cognitive and Brain Sciences investigates how the brain's processing time windows constrain language comprehension - and how this may have shaped languages cross-linguistically.

The successful candidate will relate electrophysiological patterns to statistical properties of human languages, linking NLP with time-series analysis.

Applicants must hold a doctoral degree in computational linguistics, data science, or an adjacent field. We expect experience NLP, information theory, and artificial intelligence. The ideal candidate will be versed in time-series analysis and fluent in Python™, MATLAB® and R.

The start date should be no later than 1st March 2021 for a duration of 2 years, with possible extension for up to three years. Remuneration is based on the pay scale of the Max Planck Society.

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. International applicants are strongly encouraged to apply.

To apply, submit a cover letter, your curriculum vitae, a motivational statement, contact information of two referees, academic certificates, and three prior publications that illustrate suitability. Please apply online via (subject heading: “PD 9/20).

Closing date: 31st December 2020

Public contact information: 

Should you have any questions, please contact Lars Meyer at [email protected].

Position Type: 
Postdoctoral Researcher.
Linguistic Specialization: 
Computational Linguistics, Psycholinguistics.