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• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

We are searching for student interns to join our Data Sciences Department, within the Geospatial, Imaging, and Data Sciences Division at the Applied Research Laboratory (ARL) at Penn State University.  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). 

We are looking for student interns who are pursing degrees in Engineering, Computer Science, or Data Sciences. You will aid our research efforts in this unique problem area that has applications in 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.

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 spatio-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, rep