Johns Hopkins University
Postdoctoral Fellow in Computational Neurolinguistics
Johns Hopkins University, Baltimore, Maryland, United States, 21276
Postdoctoral Fellow in Computational Neurolinguistics
Requisition #: A-178662-3 Status: Full Time Type: Post Doctoral Fellowship School: Zanvyl Krieger School of Arts and Sciences Department/Program: Cognitive Science Department 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. Qualifications
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 Instructions
Applicants should submit a CV, research statement, and the contact information of three recommenders to the application in Interfolio. The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at
[emailprotected]
. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu . The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.
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Requisition #: A-178662-3 Status: Full Time Type: Post Doctoral Fellowship School: Zanvyl Krieger School of Arts and Sciences Department/Program: Cognitive Science Department 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. Qualifications
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 Instructions
Applicants should submit a CV, research statement, and the contact information of three recommenders to the application in Interfolio. The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved. Pre-Employment Information
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at
[emailprotected]
. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu . The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.
#J-18808-Ljbffr