Post Doctoral Resch Assoc, Innovative Computing Laboratory

Knoxville, Tennessee, United States
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Job description

Requisition Number: 16000001RQ

Post Doctoral Research Associate -Innovative Computing Laboratory- Salary DOE&Q – Full Time -The primary duties of this position are: to assist in the design, development and maintenance of numerical software libraries for solving linear algebra problems on large distributed memory machines with multicore processors and hardware accelerators at Exascale; write research papers documenting research findings; present material at conferences. These projects are leading the technology in the integration of numerical algorithms and state-of-the-art hardware, with an emphasis on distributed computing and performance optimization at multiple levels of hardware and software. There will be limited opportunities for publication, for travel, and to interact with research partners and participate in the research community, and often for special training in new and emerging technologies significant to the work.

Skills:

Education:
PhD in Computer Science or related field with demonstrable background in applied mathematics and computer science, in particular distributed computing, multicore computing, GPU computing. PhD must have been completed in the past 12 months.

Experience:
Background in applied mathematics, technical experience in parallel computing, distributed computing, multithreading, and accelerator computing; familiarity with numerical software libraries; experience with performance diagnostics and optimization techniques, tracing, profiling. Experience with developing mathematical software highly desired. Track record of contributing to relevant open source projects a plus. Experience with GPU and coprocessor computing highly desired.

Job Skills:
Required: background in applied mathematics, familiarity with numerical software; extensive knowledge of programming techniques, highly proficient in C/C++, basic understanding of modern Fortran language; proficiency with modern MPI and modern OpenMP, familiarity with CUDA or OpenCL as well as low level optimization techniques such as intrinsic functions; technical writing and presentation skills, excellent communication skills and a strong publication record.

How to apply

For consideration, submit CV and contact information for three references

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