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Penn State University Park

Internship

Onsite

Intern

The Pennsylvania State University is a leading research university, and they are seeking interns for their Advanced Phenomenology Department. The role involves applying data acquisition and processing knowledge to support research in geospatial and data sciences, collaborating with analysts, and conducting applied research.

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Responsibilities

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

Qualification

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