Experimental Psychologist - Human‑Machine Systems & AI Research

University of Maryland; College Park (MD); Hybrid; USD 150,000 - 200,000; Full time

Job summary

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland seeks a Senior Experimental Psychologist to advance human factors, cognitive neuroscience, and AI-human integration research for national security initiatives.

You will design and oversee experiments, guide data collection and analysis, collaborate with the software team on user experience tasks, and contribute to sponsorship engagements and white papers, with on-site work required in College Park,

Qualifications

• Master's or PhD in human factors psychology, experimental psychology, cognitive neuroscience, or related discipline.
• Experience leading significant portions of applied research projects.
• Ability to plan, prioritize, and manage work independently while collaborating in a team.
• Strong attention to detail and accuracy; excellent written and verbal communication.
• Willingness to work on-site at College Park, MD (minimum 3 days).

Responsibilities

• Support deliverable development and project milestones.
• Lead qualitative and quantitative methods in experiments and interviews.
• Develop workflows based on task analyses and cognitive models.
• Collaborate with software teams on user experience tasks.
• Support data collection via physiological measures and advanced analytics.
• Engage sponsor activities and draft white papers with IHMS teammates.

Skills

Leadership

Experimental design

Data analysis

Written communication

Verbal communication

On-site collaboration

Education

Master's or PhD in related field

Job description

The Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland seeks a Senior Experimental Psychologist to advance human factors, cognitive neuroscience, and AI-human integration research for national security initiatives.

You will design and oversee experiments, guide data collection and analysis, collaborate with the software team on user experience tasks, and contribute to sponsorship engagements and white papers, with on-site work required in College Park,