R&D Engineer Intern

Penn State University•University Park, PA

39d•Onsite

About The Position

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. 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). FOR FURTHER INFORMATION on ARL, please visit our web site at www.arl.psu.edu.

Requirements

Python, R, Java, C++, or Matlab
Previous success with collaborations in a diverse, multi-disciplinary, team-oriented culture
Relevant experience or coursework in a field directly applicable or highly related to Data Sciences, Engineering, Computer Sciences, or Geospatial Sciences
Ability to design experiments, perform analysis, and design or apply meaningful metrics to measure results
Demonstrated ability to adapt and learn new skills, execute specific research projects, and meet task deadlines and goals
Strong ability to clearly communicate ideas and information to ensure mutual understanding
Students studying Mathematics, Engineering, or Computer Science are encouraged to apply
All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

Nice To Haves

Ability to utilize Git for distributed version control and team collaboration
GUI development
Open-source scientific computation
Computer vision
Modeling
Machine learning tools

Responsibilities

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