Machine Learning Student Research Assistant - EOSL - Summer 2024

Overview:

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech).Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry.GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.

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Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
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Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

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 during Summer 2024. Responsibilities include curating data, running simulations and optimizations, developing algorithms, and applying machine learning research to electronic warfare challenges.

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 during working semesters
• 3.0 or higher 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 machine learning or genetic programming projects

• Ability to clearly communicate technical ideas in non-technical language
• Familiarity with Linux and configuration management tools
• Experience with Evolutionary Multi-objective Algorithm Design Engine (EMADE) toolset
• 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)

10-20 hours per week

Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.

Candidates must be able to obtain and maintain an active security clearance.

Housing and relocation assistance are not available for this position.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

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