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

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

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Knoxville, TN - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 aPostdoctoral 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 togetherhigh-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 personalizationedge 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.
  • 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 $75000 per year depending on experience and qualifications.

Application Instructions:

If you are interested in this position please submit an online 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:




Required Experience:

IC

Employment Type

Full-Time

Company Industry

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.