Machine Learning Student Assistant - EOSL - Fall 2026

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. Georgia Tech's Mission and Values Students are our top priority. We strive for excellence. We thrive on diversity. We celebrate collaboration. We champion innovation. We safeguard freedom of inquiry and expression. We nurture the wellbeing of our community. We act ethically. We are responsible stewards. Job Description The Electromagnetic Warfare Survivability Modeling and Simulation Division (EWSMS) in the Electro-Optical Systems Laboratory (EOSL) at GTRI seeks Student Assistants to conduct automated machine learning research during Fall 2026. Responsibilities include curating data, running simulations and optimizations, developing algorithms, and applying machine learning research to electronic warfare challenges. Required Minimum Qualifications 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. Student Assistant Pursuing a Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field to Machine Learning. Must be registered for at least 6 credit hours with your university during working semesters. 2.0 or higher GPA. Preferred Qualifications 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). Secret clearance. Hours per Week 15-20 hours per week. U.S. Citizenship Requirements Due to our research contracts with the U.S. federal government, candidates for this position are required to be U.S. 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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Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at #J-18808-Ljbffr Georgia Tech Research Institute (GTRI)