Machine Learning Graduate Research Assistant –EOSL –Summer 2023
Job description
The Electronic Warfare Modeling and Analysis Division (EWMAD) in the Electro-Optical Systems Laboratory (EOSL) at GTRI seeks Graduate Research Assistants to conduct machine learning research. Responsibilities include curating data, developing scripts, documentation, maintaining configuration management running simulations and optimizations, developing algorithms, applying machine learning research, and developing innovative solutions for EO/IR algorithms to support Electronic Warfare (EW) research during Summer 2023.
EWMAD performs modeling, simulation, and analysis in support of various Electro-Optical Counter Measures, Physics and Missile Warning Systems EW studies, including aircraft self-protection, countermeasures, scene generation, laser warning, scattering, propagation and turbulence, and EO/IR signature modeling. Our team has a diversity of backgrounds and skill sets, and a typical project team is composed of programmers, EO/IR engineers Physicists and Countermeasures experts. While our work is applied research, it runs the gamut from "blue sky" concepts for the future battlespace to modeling-based solutions to be fielded on today's aircraft
Required Minimum Qualifications
Graduate Research Assistant
- Pursuing a Master’s degree or PhD at Georgia Tech in Computer Science, Computer Engineering, Electrical Engineering, or related field
- Must be enrolled full-time (12+ credit hours)
- Must have a 3.0 or higher cumulative GPA
- Commit to 20 hours of work per week
- Experience in 1 or more programming languages
- Familiarity with machine learning or genetic programming concepts
- Strong math skills and ability to learn complex engineering concepts
- Experience with Evolutionary Multi-objective Algorithm Design Engine (EMADE) toolset
Preferred Qualifications
- Experience in Python (including numPy, sciPy, pandas, matplotlib)
- Experience with machine learning or genetic programming projects
- Ability to clearly communicate technical ideas in non-technical language
- Currently or previously enrolled in Georgia Tech’s VIP Automated Algorithm Design (AAD) course (i.e. VIP 2601, VIP 3601, VIP 3602, VIP 4601, VIP 4602, VIP 6603)
- Task / team leadership experience
- Ability to clearly communicate technical ideas
- Holds an active security clearance
Hours per Week
20 hours per week
U.S. Citizenship Requirements
Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.
Clearance Type Required
Candidates must be able to obtain and maintain an active security clearance.
Housing and Relocation
Housing and relocation assistance are not available for this position.
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