Machine Learning Student Assistant - EOSL - Fall 2026

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 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. Equal Employment Opportunity 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. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. #J-18808-Ljbffr Georgia Tech Research Institute