Postdoctoral Fellow in Mechanistic Interpretability - #Faculty

We are recruiting a Postdoctoral Fellow at Johns Hopkins University's Center for Language and Speech Processing (CLSP). We are looking for candidates with 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.

The successful candidate will be advised by Berrak Sisman and Philipp Koehn and collaborate with an international team on an exciting research project advancing our understanding of foundation models and developing methods for more interpretable, trustworthy, and controllable AI. Candidates with experience in speech, audio, or language modeling are encouraged to apply.

Candidates with doctoral degrees in electrical engineering, computer science, or closely related fields are sought.

Salary: Fellow AY26–27 salaries range from $63,480 to $100,000+. The budgeted salary for this position is $80,000

Interested candidates should submit a CV (with full list of publications), a brief description of their research experience and interests on mechanistic interpretability along with contact information for two references. Questions should be directred to both Berrak Sisman ([email protected]) and Philipp Koehn ([email protected]).

Salary Range

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.

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Job Type: Full Time