<html><head></head><body style="zoom: 0%;"><div class="gmail_quote" >En 4 ene. 2022, en 19:35, Pietro Vischia <<a href="mailto:pietro.vischia@gmail.com" target="_blank">pietro.vischia@gmail.com</a>> escribió:<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
<div dir="ltr"><div>Dear All,</div><div><br></div><div>on behalf of David MacFarlane, please find below the advertisement for a position at SLAC.</div><div><br></div><div>Cheers,</div><div>Pietro for the IML coordinators.</div><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <b class="gmail_sendername" dir="auto">MacFarlane, David B.</b> <span dir="auto"><<a href="mailto:dbmacf@slac.stanford.edu">dbmacf@slac.stanford.edu</a>></span><br>Date: Tue, 4 Jan 2022 at 22:45<br>Subject: ML job advertisement<br>To: <a href="mailto:iml.coordinators@cern.ch">iml.coordinators@cern.ch</a> <<a href="mailto:iml.coordinators@cern.ch">iml.coordinators@cern.ch</a>><br></div><br><br>Dear Colleagues:<br>
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I would like to ask whether the following message could be circulated to the <<a href="mailto:lhc-machinelearning-wg@cern.ch" target="_blank">lhc-machinelearning-wg@cern.ch</a>> mailing list on my behalf?<br>
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Thanks in advance,<br>
David<br>
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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:<br>
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<a href="https://academicjobsonline.org/ajo/jobs/19763" rel="noreferrer" target="_blank">https://academicjobsonline.org/ajo/jobs/19763</a><br>
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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.<br>
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Feel free to contact David MacFarlane (<a href="mailto:dbmacf@slac.stanford.edu" target="_blank">dbmacf@slac.stanford.edu</a>) for further information if interested.<br>
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