Postdoc: Data Science for Community Resilience

Johns Hopkins University; Baltimore (MD); On-site; USD 70,000 - 110,000; Full time

Job summary

Johns Hopkins University is seeking a PREP Research Associate to advance decision science and computational methods for community resilience. You will standardize and analyze heterogeneous data, develop reproducible workflows, and apply ML/NLP to extract actionable insights from field data and transcripts.

The role emphasizes collaboration with NIST researchers and external partners, with responsibility for software prototyping, documentation, and dissemination of results.

Qualifications

• PhD or ABD in computational science or related field.
• 3+ years applying computational methods to heterogeneous data.
• Experience with multimodal sensing or time-series data.
• Experience with ML/statistical methods for data fusion/classification.
• Familiarity with NLP or language-model techniques is desirable.
• Proficiency in programming and reproducible research practices.
• Strong communication in interdisciplinary teams.

Responsibilities

• Develop and evaluate schemas, metadata, vocabularies, and data dictionaries for multimodal field data.
• Design reproducible workflows to ingest, clean, synchronize, and link data sources.
• Support field-data collection activities using mobile sensing and infrastructure monitoring.
• Develop ML/NLP methods to classify observations and extract relations.
• Create research software, communicate findings, and document datasets and code.

Skills

Multimodal data analysis

NLP methods

Statistical modeling

Programming & reproducible research

Scientific communication

Education

PhD or ABD in Computational Science / Data Science / CS / Engineering

Tools

Python

R

Git

Jupyter

Job description

Johns Hopkins University is seeking a PREP Research Associate to advance decision science and computational methods for community resilience. You will standardize and analyze heterogeneous data, develop reproducible workflows, and apply ML/NLP to extract actionable insights from field data and transcripts.

The role emphasizes collaboration with NIST researchers and external partners, with responsibility for software prototyping, documentation, and dissemination of results.