Penn State University
Research and Development
SignalProcessingEngineer
“Signal Processing Engineer at Penn State University. Skills: Signal Processing, Data Fusion, Estimation Frameworks, UxV Autonomy, Machine Learning Integration. Support the research and testing of novel collection methods and strategies using multiple networked assets. Evaluate signal processing strategies and UxV autonomy in sea, ground, air and space environments”
What You'll Achieve.
Facilitate data-driven decision support; Advance data and geospatial sciences; Develop data analytics
Industry & Context.
Challenging scientific, engineering, and technology problems
Must be a U.S. citizen, Ability to obtain a government security clearance, Successful completion of a pre-employment drug screen, Successful completion of background check(s)
What They're Looking For.
Must Have
Technical skills and training in a field directly applicable or highly related to Computer Science, Applied Mathematics, Engineering, or Geospatial Sciences, Bachelor's Degree - Engineering or Science, 2+ years of relevant experience
Nice to Have
Willingness to work within DoD/IC Analysis or Operational environments, Willingness and ability to obtain a government security clearance
What You'll Do.
Support the research and testing of novel collection methods and strategies using multiple networked assets
Evaluate signal processing strategies and UxV autonomy in sea
air and space environments
Develop data architectures and pipelines for test and evaluation
Document findings and recommend system modifications
Research data fusion and estimation frameworks for sensor networks
Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data processing workflows and implementations
Collaborate with computer vision algorithm developers and data scientists to support the integration of machine learning algorithms
Derive physics-based and mathematical models where appropriate for validation and verification
Apply scientific method and best practices across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
Engage in research efforts ranging from proof-of-concept through integrated production
How You'll Work.
Team & Collaboration
Collaborate with geospatial imagery analysts and/or UxV operators; Collaborate with computer vision algorithm developers and data scientists; Contribute to large research efforts; Foster trusted relationships with sponsors
Process & Methodology
Plan and conduct applied research
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