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Penn State University · 1 month ago

R&D Engineer Intern

University Park, PA

Internship

Onsite

Intern

Penn State University is seeking undergraduate students for internship opportunities in the Geospatial, Imaging, and Data Sciences Division. The role involves collaborating with geospatial data analysts, conducting research and development in various domains, and applying the scientific method to advance Data and Geospatial Sciences.

Higher Education

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

PythonRJavaC++MatlabData SciencesGeospatial SciencesExperiment designMachine learning toolsGUI developmentOpen-source computationComputer visionModelingTeam collaborationCommunicationAdaptability

Required

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