[Tccc] Post doctoral Research Position is available at Stony Brook University.

One post doctoral research associate position is available at the joint
network research group between the Computational Science Center at
Brookhaven National Lab and the Electrical and Computer Engineering Stony
Brook University.

The group researches, designs and develops dynamic network provisioning and
high-performance, data transfer software and libraries for Peta-/Exa- scale
leadership supercomputers and peta/exa-scale storage systems interconnected
by advanced networking technologies, for example, multiple 10Gbps
wavelengths, 10 G/ 40 G/100 G Ethernets and InfiniBand.

The primary responsibilities of this post-doctoral research associates will
be to formulate and design 100Gbps data-transfer protocols, tools, and
services with the demonstrated commensurate capabilities to drive the DOE
funded research network initiative, i.e. a nationwide research prototype
network with a 100Gbps throughput capability to interconnect the DOE¹s
Advanced Scientific Computing Research (ASCR) computing facilities at four
national laboratories (Argonne National Lab, Brookhaven National Lab,
Lawrence Berkeley National Lab, and Oak Ridge National Lab).
The assignments of this position include designing data-transfer tools to
utilize the underlying hardware-enabled high-speed, low-latency data
transport, such as Remote Direct Memory Access Module (RDMA), and to support
asynchronous streaming and expedited data-transfer. We plan to build the
data transfer tool on the open source software stack: OpenFabrics Enterprise
Distribution (OFED). This will optimize the configuration of RDMA with
heterogeneous data transport techniques (TCP, UDP, Ethernet, and Infiniband)
so it best matches the characteristics of available networks.

A Ph.D. degree in Computer Science or Computer Engineering is required. The
candidate should have a strong research background in advanced networking
technologies and high-performance distributed file systems. They should be
highly skilled in programming (in Java and C++) and in performance modeling,
evaluations, and diagnosis. Research and development experience in
cloud/grid computing, and file system, such as in Lustre, IBM GPFS, Hadoop
and its distributed file systems (HDFS) is highly desirable. The candidates
should have good communication, and writing skills; they will be expected to
lead graduate students in cutting-edge research, implementation,
publication, and proposal writing. The ability to work as part of a team is
essential.

If you are interested in this position, please send your CV and three
letters of recommendations to Department of Electrical and Computer
Engineering/Brookhaven National Lab, Dantong Yu (dtyu@bnl.gov
<mailto:dtyu@bnl.gov> ).

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