Postdoctoral Research Associate- Data Reduction

Requisition Id 11543 

Overview: 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation. The Workflow Systems Group at the Oak Ridge National Laboratory (ORNL) seeks highly motivated Postdoctoral Research Associate to research and develop cutting-edge data reduction technologies. In this role you will work on some of the most challenging scientific problems facing the Department of Energy, creating new algorithms, tools, and technologies to facilitate knowledge discovery. The rate of data production at next-generation computational facilities enables scientific knowledge discovery but presents a challenge to move, store, and process the data. To maximize their science return, these facilities are forced to make tradeoffs to limit the overall cost of operations. As our facilities evolve, data sizes continue to grow at unprecedented rates, which requires new research and development in data reduction. This position is to focus on novel techniques to deal with this challenge and collaborate with a team of scientists focused on achieving our goals. Our collaborative work concerns all stages of the scientific life cycle and utilizes computing platforms ranging from the desktop to next generation supercomputers.  Our group works closely with application scientist (e.g., fusion, accelerator, seismology, nuclear), applied mathematicians, and computer scientists. Our group focuses on research and software artifacts in highly cited journals and conferences, helping to enable bleeding edge science at scale. Our research has resulted in numerous awards and software including an R&D 100 award for the Adaptable I/O System (ADIOS), and the state-of-the-art data reduction software, MultiGrid Adaptive Reduction of Data (MGARD). Our emphasis is on teamwork, and it is important for the applicant to show a strong desire to work within a team, as well as promote her/his research.

 

Major Duties/Responsibilities: 

• Make direct contributions working closely with project teams to create, evaluate, and publish novel research ideas.
• Mentor students.
• Develop and maintain reduction software.
• Publish papers in high-quality refereed conferences and journals.
• Collaborate with industry, academia, government labs.
• Participate in proposal development for potential external and internal funding.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

• A PhD completed within the last 5 years in computer science, data science or a discipline related to the job duties.
• Experience in parallel computing.
• Experience with storage systems.
• Previous research experience in ONE or more of the following areas is also required:
  • Data compression
  • I/O
  • Workflows
  • Data science (AI/ML)
  • Computer systems

 

Preferred Qualifications:

• Strong programming skills in one or more of the following languages: C/C++, Python, Fortran
• Excellent interpersonal skills, written and oral communication skills, and strong personal motivation
• The ability to work in a dynamic, interdisciplinary team
• The ability to take initiative on research insights to bring them to fruition through publication or demonstration on mission applications

 

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

 

Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

 

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