Research Scientist Research Assistant Professor in Artificial Intell

Location

Atlanta, GA

The School of Electrical and Computer Engineering (ECE) at Georgia Tech is one of the largest producers of electrical and computer engineers. It houses over 110 faculty members across research areas such as bioengineering, computer systems, digital signal processing, electromagnetics, nanotechnology, optics, photonics, systems and controls, telecommunications, and VLSI systems.

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech seeks a Research Scientist to lead and advance cutting‑edge research in Artificial Intelligence. The role involves laboratory management, project oversight, and business development activities.

• Research Leadership in Foundation Models, World Models, and Frontier AI
• Lead and execute advanced research programs in large‑scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self‑supervised learning at scale.
• Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi‑agent environments.
• Develop GPU, TPU, and cluster‑optimized training frameworks, distributed training systems, and inference‑time optimization pipelines for next‑generation AI models.
• Publish high‑impact papers in top AI/ML venues, release open‑source tools, and contribute to Georgia Tech’s AI research leadership and national strategic priorities.
• Lab Management and AI Compute Infrastructure Operations
• Oversee daily operations of the AI research lab, including GPU clusters, high‑performance storage, distributed training stacks, and data governance frameworks.
• Manage, maintain, and expand high‑performance compute infrastructure: multi‑node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
• Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
• Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large‑scale evaluation.
• Affiliate Engagement, Business Development, and Partnerships
• Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
• Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
• Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
• Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.
• Project Management and PhD Mentorship
• Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large‑scale representation learning.
• Manage multi‑PI, multi‑institution, and affiliate‑funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
• Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.

• Research Scientist/Engineer I: Bachelor's Degree in Electrical Engineering, Physics, or related area.
• Research Scientist/Engineer II:
  • A Master's degree and three (3) years of relevant full‑time experience after completion of that degree,
  • A Master's degree and five (5) years of relevant full‑time experience after completion of a Bachelor's degree, or
  • A Doctoral degree.
• Senior Research Scientist/Engineer:
  • A Master's degree and seven (7) years…