What are the responsibilities and job description for the Geospatial, Imaging, and Data Sciences Division Intern position at The Applied Research Laboratory at Penn State University?
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:
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:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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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
- 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
- Experience with Git, open source scientific computation, computer vision, modeling, or machine learning tools is highly regarded
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:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Federal Contractors Labor Law Poster
PA State Labor Law Poster
Affirmative Action
Penn State Policies
Copyright Information
Hotlines
University Park, PA
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