Machine Learning Student 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 student research assistants to conduct automated machine learning research for Summer 2023. Responsibilities include curating data, running simulations and optimizations, developing algorithms, and applying machine learning research to electronic warfare challenges.
Required Minimum Qualifications
Student Assistant/Research Assistant
- Pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
- Must be registered for at least 6 credit hours with your university
- 3.0 or higher cumulative GPA
- Experience in 1 or more programming languages, Python preferred
- Familiarity with machine learning concepts or genetic programming projects
- Task /team leadership experience
- Strong math skills and ability to learn complex engineering concepts
- Experience with Evolutionary Multi-objective Algorithm Design Engine (EMADE) toolset
Preferred Qualifications
- Experience with machine learning or genetic programming projects
- Ability to clearly communicate technical ideas in non-technical language
- Familiarity with Linux and configuration management tools
- Currently or previously enrolled in Georgia Tech’s VIP Automated Algorithm Design (AAD) course (i.e. VIP2601, VIP 3601, VIP 3602, VIP 4601, VIP 4602, VIP 6603)
Hours per Week
10–20 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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