Part Time Research & Development Engineer - Data Sciences

Pennsylvania State University - University Park, PA 16802
Pennsylvania State University - University Park, PA 16802
Pennsylvania State University - University Park, PA 16802
Job Description


  • 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 ( .


Join the ARL Geospatial Intelligence Department at The Applied Research Laboratory! We are looking for Part Time Engineers/Scientists/Programmers/Analysts and Graduate Students to aid our research efforts in this unique problem set that has applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response. Our team is interested in both traditional and non-traditional backgrounds and multidisciplinary points-of-view with prior experience within DoD/IC Analysis or Operational environments.

You will:

  • Collaborate with geospatial and imagery 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 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 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 research investigations on diverse multi-disciplinary teams.

  • Experience and pursue technical leadership roles as well as subject-matter expert/individual contributor roles.

  • Engage in research efforts ranging from proof-of-concept through integrated production systems.


  • Applicants must have relevant experience or coursework in a field directly applicable or highly related to Geospatial Sciences and/or Data Sciences.

  • Applicants must have the ability to design and perform analysis and implement analysis prototypes in collaboration with other researchers, to understand and apply meaningful metrics to measure results, 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++.

  • Applicants should have excellent communication skills, be dependable, responsive, curious, collaborative, and have proven interpersonal skills.


  • Experience in cross-discipline applied research is highly regarded (e.g. Materials Science, Physics, Engineering Sciences, Remote Sensing).

  • Experience working within DoD/IC Research, Analysis, or Operational environments is highly regarded.

  • Experience with Git, GUI development, GIS software, 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.

This position will require successful completion of standard background checks. 

Employment with the Applied Research Laboratory will require successful completion of a pre-employment drug screen. U.S. citizenship is required for the applicant.

ARL is committed to diversity, equity, and inclusion; we believe this is central to our success as a Department of Defense designated University Affiliated Research Center (UARC). We are at our best when we draw on the talents of all parts of society, and our greatest accomplishments are achieved when diverse perspectives are part of our workforce.


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.


Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applications without regards to race, color, religion, age, sex, sexual orientation, gender identify, 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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Penn State is committed to the health of our local and global communities. As a condition of employment, all employees are required to comply with COVID-19 vaccination or testing requirements. Click on Penn State Covid-19 Vaccination or Testing Requirements ( to learn about the requirements as well as general COVID-19 information at Penn State.

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