AI/ML Engineer - GTRI - CIPHER - Open Rank

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 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.
3. We thrive on diversity.
4. We celebrate collaboration.
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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 candidate would work in the Resilient Infrastructure and Supply Chain Unit with in the CIPHER lab. The core area of research would include AI/ML for energy systems. RISC unit interacts with DOD, DOE and industry. In addition, the unit provides technical solutions for the state of Georgia in the topics of Energy, materials, infrastructure resilience and health analytics.

The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications. The AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive systems. The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments. The AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systems. The AI/ML Engineer has familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learning. When conducting research, the AI/ML Engineer leverages the most recent advances in statistical analysis of large data sets to advance state-of-the-art automated sensor and data processing for a broad range of intelligent and sensor-enabled systems.

• Lead projects that establish new standards for AI/ML systems
• Create novel tools and frameworks for AI/ML systems
• Serve as a subject matter expert in the technical and sponsor communities for specific AI/ML techniques and applications of these techniques to a class of problems
• Serve as a Principal Investigator/Project Director on sponsored projects

The candidate will utilize their expertise to build capabilities in AI/ML associated with energy systems, for the use of government or industry applications. In addition, teaching and or mentorship is encouraged.

• 14 years of relevant experience

• Active Secret Clearance

<10% travel

This position vacancy is an open-rank announcement. The final job offer will be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook

• 14 years of related experience with a Bachelor's degree in Physics, Biology, Electrical engineering, Computer Science, Chemical Engineering, or related.
• 12 years of related experience with a Masters' degree in Physics, Biology, Electrical engineering, Computer Science, Chemical Engineering, or related.
• 9 years of related experience with a Ph.D. in Physics, Biology, Electrical engineering, Computer Science, Chemical Engineering, or related.

Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens.

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

Comprehensive information on currently offered GTRI benefits, including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: https://benefits.hr.gatech.edu/.

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.

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Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.