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

University of Tennessee • Knoxville, TN

7d • $75,000 • 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 a relevant field (e.g., Computer Science, Electrical Engineering, or related discipline).
• Strong background in high-performance computing (HPC), distributed systems, AI/ML, and/or human-computer interaction (HCI).
• Experience with scientific workflow systems.
• Proven ability to conduct interdisciplinary research.
• Experience with open-source software development.
• Ability to collaborate with domain scientists.
• Strong publication record in relevant venues.

Nice To Haves

• Experience with intelligent and explainable workflow composition.
• Knowledge of data and workflow provenance, reproducibility, and trust.
• Experience with sustainable AI.
• Familiarity with Human-in-the-loop reinforcement learning and personalization.
• Experience with edge AI-cloud-HPC convergence.
• Experience in scientific computing.
• Experience collaborating with national laboratories, universities, and industry partners.

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.
• Work on sustainable AI, Human-in-the-loop reinforcement learning and personalization.
• Engage in research 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 such as SC, ISC, HPDC, NeurIPS, AAAI, CHI, UIST, and IMWUT/UbiComp.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Ph.D. or professional degree