Applied Quantitative Methods Scientist — AI/ML & NLP Research

UM01 University of Maryland College Park (UMCP); United States; On-site; USD 120,000 - 180,000; Full time

Job summary

The Quantitative Methods Research Scientist at the University of Maryland’s Applied Research Laboratory for Intelligence & Security (ARLIS) will advance projects in AI/ML, decision support, NLP, and OSINT. The role supports an expanding research portfolio with emphasis on methodological rigor and cross-disciplinary collaboration.

Applicants must be able to obtain a US security clearance and have a strong record of scholarly work, leadership in research projects, and experience with quantitative

Qualifications

• Doctoral degree or Master’s with 5 years of research experience in a relevant field.
• Evidence of scholarly production (conference presentations, journal articles, datasets, technical reports).
• Demonstrate proficiency with quantitative social science research methods and statistics.
• Experience leading basic and/or applied research projects.

Skills

Statistical analysis

Research design

Quantitative social science methods

Data analytics

Python

C++

Matlab

R

Microsoft Office

Education

Doctoral degree

Master’s degree

Tools

Matlab

R

Microsoft Office

Job description

The Quantitative Methods Research Scientist at the University of Maryland’s Applied Research Laboratory for Intelligence & Security (ARLIS) will advance projects in AI/ML, decision support, NLP, and OSINT. The role supports an expanding research portfolio with emphasis on methodological rigor and cross-disciplinary collaboration.

Applicants must be able to obtain a US security clearance and have a strong record of scholarly work, leadership in research projects, and experience with quantitative