Post-doctoral Research Associate: Electrical Engineering and Computer Science - UTK

University of Tennessee • Knoxville, TN

10h • Onsite

About The Position

The Global Computing Laboratory (GCLab) and the Energy, People, and Interactive Computing (EPIC lab) at the University of Tennessee, Knoxville (UTK) —led by Prof. Michela Taufer and Prof. Sai Swaminathan, respectively— invite applications for a Postdoctoral Research Associate position to advance the next generation of intelligent, adaptive, and user-aware scientific workflow systems. Together, our labs conduct interdisciplinary research that brings together high-performance computing (HPC), distributed systems, AI/ML, and human-computer interaction (HCI). Our ongoing collaborations span intelligent and explainable workflow composition, data and workflow provenance, reproducibility, and trust, sustainable AI, Human-in-the-loop reinforcement learning and personalization, edge AI-cloud-HPC convergence, and scientific computing. We collaborate with national laboratories, universities, and industry partners to develop scalable, trustworthy, and efficient systems for exascale and beyond. This position offers a unique opportunity to work across system-level and human-centered innovations, contributing to open-source software, co-design with domain scientists, and publishing in top-tier venues such as SC, ISC, HPDC, NeurIPS, AAAI, CHI, UIST, and IMWUT/UbiComp.

Requirements

• Ph.D. in Electrical Engineering and Computer Science or a related field.
• Experience in high-performance computing (HPC), distributed systems, AI/ML, and human-computer interaction (HCI).
• Experience with intelligent and explainable workflow composition.
• Experience with data and workflow provenance, reproducibility, and trust.
• Experience with sustainable AI.
• Experience with Human-in-the-loop reinforcement learning and personalization.
• Experience with edge AI-cloud-HPC convergence.
• Experience with scientific computing.
• Ability to collaborate with national laboratories, universities, and industry partners.
• Ability to develop scalable, trustworthy, and efficient systems.
• Ability to work across system-level and human-centered innovations.
• Experience contributing to open-source software.
• Experience with co-design with domain scientists.
• Proven track record of publishing in top-tier venues.

Responsibilities

• Advance the next generation of intelligent, adaptive, and user-aware scientific workflow systems.
• Conduct interdisciplinary research in high-performance computing (HPC), distributed systems, AI/ML, and human-computer interaction (HCI).
• Collaborate on projects involving intelligent and explainable workflow composition, data and workflow provenance, reproducibility, and trust.
• Contribute to research in sustainable AI, Human-in-the-loop reinforcement learning and personalization.
• Work on edge AI-cloud-HPC convergence and scientific computing.
• Collaborate with national laboratories, universities, and industry partners.
• Develop scalable, trustworthy, and efficient systems for exascale and beyond.
• Work across system-level and human-centered innovations.
• Contribute to open-source software.
• Engage in co-design with domain scientists.
• Publish research in top-tier venues.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees