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Posting Title
Postdoctoral Research Associate in HPC Scalable Data, Storage, & File Systems
Reference Code
Eligibility Requirements
  • Degree: Currently pursuing a Doctoral Degree or have received this Degree within 60 months.
  • Affirmation: I certify that I have completed coursework towards a degree in science, technology, engineering, mathematics, or a related field.
How To Apply
Academic Levels
  • Postdoctoral
  • Computer Sciences
  • Earth and Geosciences
  • Engineering
  • Mathematics and Statistics

Required Qualification:
Candidate should have a Ph.D. in computer engineering or science, or related discipline.
The following qualifications are also required:
• C/C++ programming under Unix.
• Shell and Perl or Python programming.
• Technical comprehension of networking, and system software for HPC platforms.
• Knowledge on high-performance networking technologies such as Infiniband or SAS and in-depth understanding of the TCP/IP stack.
• Knowledge in performance analysis.
• In-depth understanding in operating system kernels (Linux in particular), parallel tools, distributed computing and/or software development.
• Collaborative skills, including the ability to work well with others.
• Excellent verbal and written communication skills.

Preferred Qualifications:
• Understanding of HPC computer architecture issues including CPU, memory, interconnect and parallel I/O.
• Considerable Expertise in parallel programming, multi-core systems, data flow analysis, and scientific application codes.
• Considerable Expertise in creating high-quality software.
• Understanding in one or more of scalable parallel file systems, such as Lustre, Ceph, GPFS, PVFS.
• Understanding in I/O middleware in HPC platforms.
• Expertise in I/O performance evaluation and benchmarking techniques, tools, and methodology.
• Expertise in storage area networking.
• Knowledge of and familiarity with NoSQL databases, Key-Value stores,
• Map-Reduce and scalable data analysis techniques.


Applicants cannot have received the most recent degree more than five years prior to the date of application and must complete all degree requirements before starting their appointment.


Oak Ridge National Laboratory (ORNL) (http://www.ornl.gov/) is a multi-program science and technology laboratory managed for the U.S. Department of Energy by UT-Battelle, LLC. ORNL's mission is to deliver scientific discoveries and technical breakthroughs that will accelerate the development and deployment of solutions in clean energy and global security, and in doing so, create economic opportunity for the nation.

The Oak Ridge Leadership Computing Facility (OLCF)  gives the world’s most advanced computational researchers an opportunity to tackle problems that would be unthinkable on other systems. The facility welcomes investigators from universities, government agencies, and industry who are prepared to perform breakthrough research in climate, materials, alternative energy sources and energy storage, chemistry, nuclear physics, astrophysics, quantum mechanics, and the gamut of scientific inquiry. Because it is a unique resource, the OLCF focuses on the most ambitious research projects—projects that provide important new knowledge or enable important new technologies. For more information on the OLCF, please visit http://www.olcf.ornl.gov/ .

The Technology Integration (TechInt) Group at ORNL is seeking applicants for the position of Postdoctoral Research Associate in HPC Storage Systems.  The TechInt Group is responsible for updating and integrating the networks, files systems, and archival storage infrastructure into the OLCF computing systems. The group researches and evaluates emerging technologies and provides system programming to seamlessly integrate new technologies and tools into the infrastructure as they are adopted. TechInt developed the OLCF’s High-Performance Storage System (HPSS) and is constantly working to increase the speed of data transfer and implement cybersecurity measures for the OLCF’s area-wide network. As the OLCF computing resources continue to scale up, the TechInt group works to develop tools such as compilers, debuggers, and performance-analysis tools that allow users to take full advantage of the leadership-class systems.

The successful candidate will work with a team at Oak Ridge National Laboratory to conduct research on existing and emerging high-performance scalable parallel file and object storage systems, such as Lustre and Ceph. The applicant will also be responsible for characterizing and analyzing high-performance computing (HPC) I/O workloads and developing I/O benchmarks, performance evaluation tools, and techniques mimicking these workloads.

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