Postdoc: AI & Sign Language Cognition Research

VS-Postdoc; Baltimore (MD); On-site; USD 63,000 - 76,000; Full time

Job summary

Johns Hopkins University is seeking a Postdoctoral Fellow in AI and Cognitive Science to lead machine learning work on signed languages. The role involves designing experiments, building benchmarks, curating datasets, and presenting results to collaborators, with opportunities to publish in journals and contribute to NSF/NIH-type grants.

Relocation to the Johns Hopkins campus is required. The successful candidate will have a PhD in a relevant field, strong publications, and proficient

Qualifications

• PhD in Cognitive Science, Computer Science, Psychology, Linguistics, or related fields.

Responsibilities

• Design, execute, and troubleshoot experiments
• Develop and validate benchmarks for model evaluation
• Contribute to the development of datasets for model training and evaluation
• Mentor and supervise graduate and undergraduate students
• Prepare progress reports and present results to collaborators
• Publish findings in peer-reviewed journals and conference proceedings
• Contribute to competitive grant proposals to federal agencies (e.g., NIH)

Skills

Deep learning

Computer vision

Computational linguistics

Transfer learning

MATLAB

Python

Education

PhD in Cognitive Science, Computer Science, Psychology, Linguistics, or related fields

Tools

MATLAB

Python

Job description

Johns Hopkins University is seeking a Postdoctoral Fellow in AI and Cognitive Science to lead machine learning work on signed languages. The role involves designing experiments, building benchmarks, curating datasets, and presenting results to collaborators, with opportunities to publish in journals and contribute to NSF/NIH-type grants.

Relocation to the Johns Hopkins campus is required. The successful candidate will have a PhD in a relevant field, strong publications, and proficient