The Geospatial, Imaging, and Data Sciences Division (GIDS) of the Applied Research Laboratory is seeking undergraduate students for internship opportunities. ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). Typical duties include research and development in areas such as defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response. Our team is interested in both undergraduate-level and graduate level student interns. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Collaborate with geospatial data analysts to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics Create processes and algorithms to transform traditional GEOINT and open-source data into spatial-temporal information describing places, events, and activities Combine full spectrum source data with modeling capabilities that associate real world objects to known signatures and doctrines Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities Apply the scientific method across multiple disciplines to advance Data and Geospatial Sciences and develop data analytics through systematic experimentation Conduct experiment-driven applied research and development Conduct analysis and complete scientific research projects and develop geospatial algorithms while collaborating among diverse domains to further scientific understanding and analytic tools Grow career and capabilities, plan and conduct applied research, provide technical guidance and oversight, contribute to large research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques Research team members will receive technical and professional mentorship to learn about conducting efficient experiment-driven applied research investigations on diverse multi-disciplinary teams Engage in research efforts ranging from proof-of-concept through integrated production systems Students studying Mathematics, Engineering, or Computer Science are encouraged to apply.