Applied Quantitative Scientist – AI/ML & Decision Support

University of Maryland; College Park, Northern (MD, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

University of Maryland's Applied Research Lab for Intelligence & Security (ARLIS) seeks a Quantitative Methods Research Scientist to advance AI/ML, NLP, OSINT, and information warfare research in support of national security objectives. The role emphasizes research development, prototyping, and systems integration across government partners and academia.

The successful candidate will hold a doctoral degree or a master's with substantial research experience, demonstrate leadership in projects,

Qualifications

• Doctoral degree or Master’s with 5 years of research experience.
• Experience with quantitative social science research methods.
• Strong statistical analysis skills (e.g., Matlab, R) and data-driven decision making.
• Experience leading basic or applied research projects.

Responsibilities

• Support ARLIS’s research portfolio in AI/ML, NLP, OSINT, and information warfare.
• Prototype, experiment, and integrate systems for field deployment.
• Engage with government and academic partners to produce actionable insights.
• Lead research projects and communicate results to stakeholders.

Skills

Statistical analysis

Quantitative methods

Research design

Microsoft Office

Multi-tasking

Education

Doctoral degree

Master’s degree

Tools

Python

C++

Job description

University of Maryland's Applied Research Lab for Intelligence & Security (ARLIS) seeks a Quantitative Methods Research Scientist to advance AI/ML, NLP, OSINT, and information warfare research in support of national security objectives. The role emphasizes research development, prototyping, and systems integration across government partners and academia.

The successful candidate will hold a doctoral degree or a master's with substantial research experience, demonstrate leadership in projects,