AI/ML & OSINT Quant Methods Scientist for National Security

umd; College Park (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

The University of Maryland ARLIS seeks a Quantitative Methods Research Scientist to advance AI/ML, NLP, OSINT, and decision-support research in national security contexts.

You will contribute to government-sponsored projects, prototype systems, and field deployments, applying rigorous quantitative social science methods and statistical analyses. Final appointment is matched to programmatic needs and security requirements.

Qualifications

• Doctoral degree or Master’s with 5 years of research experience in a relevant field.
• Evidence of sound scholarly production (e.g., conference presentations, published journal articles, published code, published datasets, technical reports).
• Background in and demonstrated proficiency with quantitative social science research methods and statistical analyses.

Responsibilities

• Support ARLIS’s expanding research portfolio in AI/ML, decision support, OSINT, NLP, and information warfare.
• Contribute to government-sponsored projects through research development, prototyping, experimentation, systems integration, and field deployment.

Skills

Statistical analysis

Research design

Quantitative social science methods

Python

R

Matlab

Microsoft Office

Education

Doctoral degree or Master’s + 5 years research experience

Tools

Python

R

Matlab

Microsoft Office

Job description

The University of Maryland ARLIS seeks a Quantitative Methods Research Scientist to advance AI/ML, NLP, OSINT, and decision-support research in national security contexts.

You will contribute to government-sponsored projects, prototype systems, and field deployments, applying rigorous quantitative social science methods and statistical analyses. Final appointment is matched to programmatic needs and security requirements.