sPHENIX is a new detector at RHIC.

[Anthony R Timmins <anthony.timmins AT cern.ch>]

Begin forwarded message:

From: Frank Geurts <geurts AT rice.edu>

Subject: Re: Faculty Positions (all ranks) at Rice University

Date: September 30, 2016 at 4:21:27 PM CDT

To: "Timmins, Anthony R" <artimmin AT Central.UH.EDU>, "Bellwied, Rene" <rbellwie AT Central.UH.EDU>

Hi guys,

 Did you get a chance to forward this message?

Cheers,

 Frank

Sent from my iPad

On Sep 22, 2016, at 12:22 PM, Frank Geurts <geurts AT rice.edu> wrote:

Hi guys,
Could you forward this message to ALICE and SPHENIX mailing lists?

Thanks,
-Frank



Dear colleagues,

Rice has announced an initiative in Data Sciences with a number of a

faculty positions at all ranks associated with it. In particular the

list of topics of interest includes high-volume and/or high-velocity

data intensive science. LHC and RHIC physics data is both high-volume and high

velocity and thus people working on experiments at these facilities who are interested in

data science are encouraged to apply.

The position announcement is at

https://datascience.rice.edu/faculty-position-announcement <https://datascience.rice.edu/faculty-position-announcement>

More description of the high-volume, high-velocity part of it is

"Researchers in many disciplines today are using petabytes or exabytes

of data that may hold the promise of important new discoveries. While

these researchers face many of the same issues found in other

data-driven efforts, the use of truly-large datasets and datasets that

arrive at high-velocity introduces new challenges in terms of both the

underlying computer systems, hardware and software, and the analytical

techniques applied to the data. These challenges are fundamentally

different from those seen at smaller scales. The initiative actively

seeks data scientists who will work on problems related to

high-velocity, data-intensive science, including but not limited to new

hardware and software data-architectures to deal with high-volume,

high-velocity data collection, curation and analysis; highly parallel

analytics; and managing and processing distributed or federated data."

Clearly there are many people in the nuclear/particle physics community that are

working on such problems and they are encouraged to apply. It may not be

clear from the above description but people working on machine learning

techniques applied to nuclear/particle physics are definitely part of this

initiative.

Please note that nuclear/particle physicists who apply for these positions would, if successful, get a position in the Department of Physics and Astronomy and would be expected to do nuclear/particle physics research.  

Best regards,
Frank

______________________________________________________________________________
Dr. F. Geurts - Associate Professor of Physics - T.W. Bonner Nucl. Lab
Rice University - MS #315 - 6100 Main St. - Houston, TX 77005
E-Mail: geurts AT rice.edu  -  Phone: 713-348-5314