Applied Quantitative Methods Scientist

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

Job summary

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland seeks a Quantitative Methods Research Scientist to advance AI/ML and information warfare research in support of national security. This role involves developing prototypes, conducting experiments, and integrating systems across government-sponsored projects.

Applicants should have a doctoral degree or a master’s with at least five years of research experience, with a strong record of scholarly

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).
• Extensive experience with one or more statistical analysis programs (e.g., Matlab, R).

Responsibilities

• Support ARLIS’s expanding research portfolio in operational innovation and information.
• Contribute to government-sponsored projects addressing AI/ML, NLP, OSINT, and related areas.
• Prototype, experiment, and integrate systems; contribute to field deployments where applicable.

Skills

Quantitative social science methods

Multi-tasking

Communication

Education

Doctoral degree

Master’s degree with 5 years experience

Tools

Matlab

R

Microsoft Office

Job description

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland seeks a Quantitative Methods Research Scientist to advance AI/ML and information warfare research in support of national security. This role involves developing prototypes, conducting experiments, and integrating systems across government-sponsored projects.

Applicants should have a doctoral degree or a master’s with at least five years of research experience, with a strong record of scholarly