Geospatial Imaging and Data Sciences Division Intern
Geospatial Imaging and Data Sciences Division Intern
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1 Vacancy
Job Description
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 additional information on remote work at Penn State seeNotice 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 pointsofview.
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 experimentdriven 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 experimentdriven applied research investigations on diverse multidisciplinary teams
- Engage in research efforts ranging from proofofconcept 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 Bachelors 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 preemployment 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 belongingthat supports both broad and specific equity initiatives leverages theeducational and institutional benefits of inclusion in society and provides opportunities for engagement intended to help all members of thecommunity thrive. We value belonging as a core strength and anessential element of the universitys teaching research and servicemission.
FOR FURTHER INFORMATION on ARL visit our web site at .
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 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.
Federal Contractors Labor Law Poster
HotlinesRequired Experience:
Intern
Employment Type
Part-Time
