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Associate Image Science Engineer
L3Harris Technologies. Apply, enhance, and develop image and signal processing techniques for the Airborne Sensors program .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in image and signal processing techniques, particularly for airborne sensors, while effectively leading analysis and operations teams. Proficient in Python and MATLAB for data analysis and modeling, with a strong understanding of engineering concepts.
Highest-signal resume keywords
Image Processing TechniquesSignal Processing TechniquesPython ProgrammingMATLAB ExperienceData Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Image ReductionSignal ProcessingData AnalysisAtmosphere ModelingObject DetectionTracking TechniquesData ReductionDigital Data AnalysisEngineering ConceptsTechnical Practices
Tools & Technologies
Jupyter NotebooksNumPySciPyOpenCVMatplotlibWindows OS
Certifications & Qualifications
FAA Class 3 Flight Physical
Industry Keywords
Airborne SensorsNational Defense ActivitiesCollection EventsRemote Deployment
Tech Stack
Tools & technologiesNumpyPython
About the role
Key responsibilities & impact- Apply, enhance, and develop image and signal processing techniques for the Airborne Sensors program
- Analyze digital data and underlying phenomena
- Lead an analysis and operations team developing capabilities for airborne collection platforms
- Support collection events
- Perform data reduction
- Generate data artifacts and reports
- Perform atmosphere modeling and analysis
- Support national defense activities
Requirements
What you’ll need- Must be pursuing a bachelor’s degree in Computer Science, Electrical Engineering, Physics, or a related field, or have completed a bachelor’s degree within the last 12 months
- Ability to pass an FAA Class 3 flight physical
- Ability to deploy to remote sites for extended periods with a flexible schedule
- Experience with Python, including Jupyter Notebooks, NumPy, SciPy, OpenCV, and Matplotlib, or MATLAB Image/Signal Processing Toolboxes
- Preferred: digital image reduction, analysis, and signal processing techniques experience
- Preferred: object detection and tracking experience
- Preferred: Python, MATLAB, or other scripting language experience
- Preferred: engineering concepts and theory and applying them to develop new concepts and technical practices
- Preferred: Windows OS experience
Benefits
Comp & perks- Reasonable accommodation for individuals with disabilities
- 5/8 schedule: 8 hours per day, 5 days per week