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Johns Hopkins University

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Postdoctoral Fellow in Mechanistic Interpretability, Large Language Models, and Multimodal AI Johns Hopkins University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

This is a full-time postdoctoral fellowship with a budgeted annual salary of $80,000. The stated Fellow AY26–27 salary range is $63,480 to $100,000 or more, depending on qualifications and other factors. Johns Hopkins University also offers a total rewards package supporting health, life, career, and retirement.

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United States

University

Johns Hopkins University

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Keywords

Computer Science
Electrical Engineering
Interpretability
Large Language Models
ML

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About this position

Johns Hopkins University's Center for Language and Speech Processing (CLSP), within the Whiting School of Engineering, is recruiting a full-time Postdoctoral Fellow in Mechanistic Interpretability in Baltimore, United States.

The fellow will be advised by Berrak Sisman and Philipp Koehn and will collaborate with an international research team on foundation models. The project aims to improve understanding of large language models and multimodal AI while developing methods for more interpretable, trustworthy, and controllable artificial intelligence.

Applicants should hold a doctoral degree in electrical engineering, computer science, or a closely related field. The position seeks strong expertise in mechanistic interpretability, large language models, multimodal AI, and machine learning. Experience with representation analysis, causal interventions, or model steering is particularly welcome. Candidates with backgrounds in speech, audio, or language modeling are encouraged to apply.

Applicants should submit a CV with a full list of publications, a brief description of research experience and interests in mechanistic interpretability, and contact information for two references. The position is open until filled.

The budgeted salary is $80,000 per year, within the Fellow AY26–27 salary range of $63,480 to $100,000 or more. Johns Hopkins University provides a total rewards package supporting health, life, career, and retirement. Apply through Interfolio.

Funding details

This is a full-time postdoctoral fellowship with a budgeted annual salary of $80,000. The stated Fellow AY26–27 salary range is $63,480 to $100,000 or more, depending on qualifications and other factors. Johns Hopkins University also offers a total rewards package supporting health, life, career, and retirement.

What's required

Candidates should hold a doctoral degree in electrical engineering, computer science, or a closely related field. Strong expertise in mechanistic interpretability, large language models, multimodal AI, and machine learning is sought. Experience with representation analysis, causal interventions, or model steering is particularly welcome. Experience in speech, audio, or language modeling is encouraged. Applicants must submit a CV including a full publication list, a brief description of research experience and interests in mechanistic interpretability, and contact information for two references.

How to apply

Submit a CV with a full publication list, a brief description of your research experience and interests in mechanistic interpretability, and contact information for two references through the Interfolio application portal. Questions should be directed to Berrak Sisman and Philipp Koehn.

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