Postdoctoral Research Associate in File Systems for High Performance Computing and Big Data

Company Name:
Oak Ridge National Laboratory
The Technology Integration Group in the National Center for Computational Sciences Division at Oak Ridge National Laboratory invites applications for a post-doctoral appointment in computer science research.
The Group's research covers a broad spectrum of areas of computer science associated with high-performance parallel computing and interacts strongly with large-scale applications in several scientific and technical fields, as well with the Oak Ridge Leadership Computing Facility (OLCF, http://olcf.ornl.gov). More information on the Technology Integration Group may be found at, http://techint.nccs.gov/.
Major Duties / Responsibilities:
This position focuses on the research and development of a scalable platform for runtime performance analysis and adaptation of parallel file systems supporting both HPC and Big Data workloads. Applicant will work under the direction of existing R&D staff to design, implement, test, and evaluate a scalable, general- purpose software overlay network and data processing infrastructure. The resulting system will be utilized to research and develop advanced tools for monitoring, analyzing, and tuning parallel file system performance under varying workloads.
Minimum Qualifications Required:
A Ph.D. in Computer Science or related field is required.
A successful applicant will have demonstrated significant experience in:
Programming in C and/or C++
Multithreading using POSIX threads
Network programming using TCP sockets
R&D in systems software for distributed systems (e.g., parallel application runtime systems, communication middleware, or distributed/parallel file systems) ?

Excellent interpersonal skills are necessary for working within a highly diverse team, as well as strong oral and written communications skills, good organizational skills, and a high degree of personal motivation are required.
A proven publication track record is also required.
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license. As a result, U.S. Citizenship or LPR (Lawful Permanent Residence) is required.

Additional preferred skills include experience or familiarity with:
Linux kernel/driver development
HPC/cluster network fabrics and programming APIs
Parallel and distributed file systems
Big Data programming models and systems such as Hadoop
Performance analysis, measurement, and/or modeling of distributed systems

Additional Information:
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. Certain exceptions may be considered. This position is a temporary, full-time assignment not to exceed 24 months.
For further consideration please email a CV to Kate Carter, Recruiter, at

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