Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK
Anderson Center for Entrepreneurship & Innovation at University of Tennessee
Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK
Job Description
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.
Responsibilities
Other Job Functions
- Collaborates with faculty, research staff, graduate/undergraduate students, and external partners.
- Designs, develops, and evaluates scalable software frameworks for HPC, AI workflows, HCI and data-intensive science.
- Engages with national laboratories, funding agencies, and industry collaborators to advance research goals.
- Authors research proposals to expand and sustain ongoing projects and explore new directions.
- Publishes in top-tier conferences and journals; presents research results at major venues.
- Mentors students and contributes to workforce development initiatives.
Qualifications
Required Qualifications
- Ph.D. in Computer Science, Computer Engineering, or a related field.
- Applicants graduating within 6 months are encouraged to apply. Degree must be completed prior to start date.
- Strong programming skills in C/C++ and/or Python.
- Experience with AI, high-performance computing environments, parallel systems, or scientific workflows.
- Demonstrated research excellence through impactful publications, technical contributions, or leadership in projects.
Desired Qualifications
- Expertise in workflow orchestration, AI/ML integration with HPC, data management systems.
- Experience with distributed storage and I/O libraries (e.g., HDF5, NetCDF).
- Familiarity with containerization, cloud-HPC convergence, or exascale software stacks.
- Strong communication and technical writing skills; ability to work effectively in interdisciplinary teams.
Additional Information
- Occasional travel to national laboratories, conferences, or project meetings may be required.
- Starting salary range begins at $75,000 per year depending on experience and qualifications.
Application Instructions:
If you are interested in this position, please submit an online application. In addition to the application, you may also contact:
Prof. Michela Taufer
Dongarra Professor in High Performance Computing
Director, Global Computing Laboratory
Department of Electrical Engineering and Computer Science
University of Tennessee, Knoxville
E-mail: mtaufer@utk.edu
About Us
Job Info
- Job Identification 4686
- Job Category Research
- Posting Date 08/21/2025, 05:44 AM
- Job Schedule Full time
- Locations 1520 Middle Drive, Knoxville, TN, 37996, US (On-site)
EEO/AA STATEMENT / NON-DISCRIMINATION STATEMENT
The University of Tennessee is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.
Inquiries and charges of violation of Title VI (race, color, national origin), Title IX (sex), Section 504 (disability), ADA (disability), ADEA (age), sexual orientation, or veteran status should be directed to the (EEO). Requests for accommodation of a disability should be directed to the ADA Coordinator at the EEO office.
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