APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• 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 looking for Graduate and Undergraduate Aerospace Engineering, Mechanical Engineering, or Computer Science Interns to join the Advanced Phenomenology Department of the Applied Research Laboratory at Penn State.  You will aid in 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 multidisciplinary points-of-view.

You will:

• Apply foundational knowledge in data acquisition and data processing to foster machine perception for a variety of applications
• Collaborate with geospatial data analysts to understand available data sets as well as data curation strategies
• Create processes and algorithms to transform traditional GEOINT and open source data into actionable information
• 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
• 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

Required:

• Applicants must be excellent team members, highly adaptable, highly curious, creative, lateral thinkers
• Applicants must have relevant experience or coursework in a field directly applicable or highly related to Data Sciences, Engineering and Computer Sciences 
• Applicants must have the ability to design experiments, perform analysis, and design or apply meaningful metrics to measure results
• Applicants must be able to adapt and learn new skills, to execute specific research projects, and to meet task deadlines and goals
• Applicants must have experience with computer programming in one or more of the following: Python, R, Java, C++, or Matlab
• Applicants should have excellent communication skills, be dependable, responsive, curious, collaborative, and have high interpersonal skill
• Applicants should be pursuing a Bachelor’s degree or higher in a relevant field of study

Preferred:

• Experience with Git, open source scientific computation, computer vision, modeling, or machine learning tools is highly regarded

ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.

You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. 

The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging in all its forms.  We embrace individual uniqueness, as well as a culture of belonging that supports both broad and specific equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive.  We value belonging as a core strength and an essential element of the university’s teaching, research, and service mission.

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

CAMPUS SECURITY CRIME STATISTICS: