36.3794, Jobs: Computational Linguistics, Neurolinguistics: Postdoctoral Fellow in Computational Neurolinguistics, Johns Hopkins University

[The LINGUIST List]

LINGUIST List: Vol-36-3794. Wed Dec 10 2025. ISSN: 1069 - 4875.

Subject: 36.3794, Jobs: Computational Linguistics, Neurolinguistics: Postdoctoral Fellow in Computational Neurolinguistics, Johns Hopkins University

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Date: 09-Dec-2025
From: John Hale [jthale at jhu.edu]
Subject: Computational Linguistics, Neurolinguistics: Postdoctoral Fellow in Computational Neurolinguistics, Johns Hopkins University


Job Location: Maryland, USA
Web Address: https://cogsci.jhu.edu/
Job Title: Postdoctoral Fellow in Computational Neurolinguistics
Job Rank: Post Doc
Salary: $62,232 a year

Minimum Education: PhD

Specialty Areas: Computational Linguistics; Neurolinguistics

Description:
The Hale research group in the Department of Cognitive Science at
Johns Hopkins University seeks an outstanding postdoctoral fellow to
begin July 1, 2026 for a one-year initial, contract-renewable
appointment. The primary responsibility of the appointee will be to
analyze naturalistic MEG data, with an aim of shedding light on the
cross-linguistic Mechanisms underlying Human Sentence Processing.
Required Qualifications:
 - PhD in an area of cognitive science or a closely neighboring field
such as cognitive neuroscience, linguistics, computer science, or
engineering
 - Experience in preprocessing and analyzing SQUID MEG using standard
libraries such as MNE-Python or FieldTrip
 - Familiarity with magnetoencephalographic source localization
techniques
 - Ability to apply temporal response function- (TRF-) style analyses
to naturalistic MEG data, as in Brodbeck et al. (2018; 2020; 2022; cf.
Lalor et al., 2006; 2009)
 - Strong programming skills and the ability to write clean,
shareable, methodologically-communicable, and well-documented research
code
 - Fundamental knowledge of machine learning, inferential statistics,
and linguistics
 - Ability to work as part of larger research group and coordinate
with other team members
Preferred Qualifications:
 - Academic domain expertise in (computational) psycho- and
neurolinguistics
 - Conceptual understanding of modern neural language models
(Transformers, RNNs) and the ability to interact with them via e.g.,
the Hugging Face and PyTorch libraries
 - An interest in oscillatory and/or connectivity dynamics during
naturalistic language comprehension, as in Meyer (2017) and e.g.,
Chalas et al. (2024), Meyer et al. (2015)
 - An interest in probing interpretable, theory-grounded cognitive
processes involved in language comprehension, such as memory retrieval
and disambiguation

Application Deadline: (Open until filled)
Web Address for Applications: https://apply.interfolio.com/178662
Application Instructions:
Applicants should submit a CV, research statement, and the contact
information of three recommenders to the application in Interfolio.
Contact Information:
        John Hale
        Email: jthale at jhu.edu



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