Announcement of an open position at the
Faculty of Informatics, TU Wien, Austria
The TU Wien (Vienna University of Technology)
invites applications for a Full Professor position
at the Faculty of Informatics.
The successful candidate will have an
outstanding research and teaching record in
the field of Ubiquitous Computing and focuses
on next generation ubiquitous computing
systems and their application in authentic
real world settings. Particular research topics
of interest include sensor-rich environments;
interactive and smart spaces; new interaction
paradigms; Internet of Things; mobile and
context-aware computing; awareness and
privacy; and tangible, situated and embodied
We offer excellent working conditions in an
attractive research environment in a city with
an exceptional quality of life.
For a more detailed announcement and
information on how to apply, please go to:
Application Deadline: October 22, 2018
maintenance of numerical software libraries for
solving linear algebra problems on large, distrib-
uted-memory machines with multicore proces-
sors, hardware accelerators, and performance
monitoring capabilities for new and advanced
hardware and software technologies. The pro-
spective researcher will coauthor papers to docu-
ment research findings, present the team’s work
at conferences and workshops, and help lead stu-
dents and other team members in their research
endeavors in ongoing and future projects. Given
the nature of the work, there will be opportunities
for publication, travel, and high-profile profes-
sional networking and collaboration across aca-
demia, labs, and industry.
Joining this team will offer qualified candidates exciting career opportunities as they participate in the US Department of Energy’s (DOE’s) Exascale Computing Project (ECP). ICL is involved in
several DOE-ECP projects, including SLATE (http://
icl.utk.edu/slate/), PEEKS ( http://icl.utk.edu/
peeks/), xSDK ( http://www.icl.utk.edu/research/
xsdk4ecp), Exa-PAPI ( http://icl.utk.edu/exa-papi/),
CEED ( https://ceed.exascaleproject.org/), Distributed Tasking for Exascale (PaRSEC) (http://icl.utk.
edu/dte/), MAGMA ( http://icl.cs.utk.edu/magma/),
FFT-ECP ( http://icl.utk.edu/fft/), and others.
Starting date is July 1, 2018 or later. All qualified candidates, be it fresh (MS or PhD) graduates
or seasoned HPC veterans, are encouraged to apply.
For more information, contact Jack Dongarra
( firstname.lastname@example.org) or check out ICL’s jobs
An MS or PhD in computer science, computational sciences, or math is preferred.
Background in at least one of the following
areas is also preferred: numerical linear algebra,
high-performance computing (HPC), performance monitoring, machine learning, or data
analytics. Full-time employment for up to 4 years
with the possibility of further extensions based
on funding availability and performance.
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