[Todos] ML job advertisement

[Ernesto Arganda Carreras]

En 4 ene. 2022 19:35, en 19:35, Pietro Vischia <pietro.vischia en gmail.com> escribió:
>Dear All,
>
>on behalf of David MacFarlane, please find below the advertisement for
>a
>position at SLAC.
>
>Cheers,
>Pietro for the IML coordinators.
>
>
>---------- Forwarded message ---------
>From: MacFarlane, David B. <dbmacf en slac.stanford.edu>
>Date: Tue, 4 Jan 2022 at 22:45
>Subject: ML job advertisement
>To: iml.coordinators en cern.ch <iml.coordinators en cern.ch>
>
>
>Dear Colleagues:
>
>I would like to ask whether the following message could be circulated
>to
>the <lhc-machinelearning-wg en cern.ch> mailing list on my behalf?
>
>Thanks in advance,
>David
>
>SLAC is in the midst of identifying a strong and diverse applicant pool
>for
>an open faculty position in Machine Learning/Data Science (among other
>research areas). You may know that SLAC is one of 10 US Department of
>Energy Science Labs, with extensive research programs in particle
>physics
>and particle astrophysics, as well as biology, chemistry, materials
>science, energy science, and accelerator physics pursued with our
>state-of-the-art FEL and Synchrotron X-Ray facilities. Examples of
>Machine
>Learning/Data Science applications at SLAC range from jet-finding with
>ATLAS data at the Large Hadron Collider, to discovery science with the
>upcoming unique survey dataset from the Rubin Observatory, to real time
>optimization of machine operations with the LCLS. There is great
>interest
>in machine learning at SLAC, but currently no faculty member who
>specialize
>in either the fundamentals or applications of the topic.  At the same
>time,
>there is considerable support within the DOE for efforts to advance
>machine
>learning (including funding for work on machine learning broadly from
>ASCR,
>and discipline-specific support through the other offices) and we
>maintain
>close ties with Stanford's world-class collection of faculty in the
>area
>across several departments. Thus, with the search currently underway,
>we
>are seeking to further enhance the lab's capabilities on applied side
>of
>machine learning with a faculty appointment at the junior (or in
>suitable
>cases more senior) level. Applications are being solicited through
>Academic
>Jobs Online at:
>
>https://academicjobsonline.org/ajo/jobs/19763
>
>Note that consideration of candidates is ongoing beyond the original
>submission deadline, and so we are continuing to actively solicit
>further
>applications at least until the end of January.
>
>Feel free to contact David MacFarlane (dbmacf en slac.stanford.edu) for
>further information if interested.
>
>
>
>-- 
>Dr. Pietro Vischia
>FNRS Fellow
>http://cp3.irmp.ucl.ac.be/Members/pvischia
>mobile: 0034 666 986 616 (ES)
>office: +32 10 473205
>mail: pietro.vischia en cern.ch pietro.vischia en gmail.com
>skype: rambling_hadron
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