[Todos] PhD on machine learning for data analysis in Florence

[Ernesto Arganda]

-------- Mensaje reenviado --------
Asunto: 	Fwd: [Physics/Machine Learning] PhD on machine learning for 
data analysis in Florence
Fecha: 	Mon, 24 Jul 2023 17:26:47 +0200
De: 	Pietro Vischia <pietro.vischia en gmail.com>
Para: 	lhc-machinelearning-wg (Discussion group for machine learning at 
the LHC) <lhc-machinelearning-wg en cern.ch>



Dear all,

please note the opportunity below.

Cheers,
Pietro

---------- Forwarded message ---------
From: *Vitaliano Ciulli via CMS talk* <noreply en cms-talk.web.cern.ch>
Date: Mon, 24 Jul 2023 at 15:58
Subject: [Physics/Machine Learning] PhD on machine learning for data 
analysis in Florence
To: <pietro.vischia en cern.ch>


[ciulli] 	Vitaliano Ciulli <https://cms-talk.web.cern.ch/u/ciulli> ciulli
July 24

Dear all,

I would like to bring to your attention a PhD scholarship on DEVELOPMENT 
OF HIGH-PERFORMANCE COMPUTATIONAL CODES FOR THE SIMULATION AND ANALYSIS 
OF DATA COLLECTED FROM HIGH-ENERGY PHYSICS EXPERIMENTS AT CERN ACCELERATORS

The research project must concern the simulation and data analysis at 
CERN accelerators and exploit the infrastructure and expertise of the 
HPC National Center and, in particular, the possibility of using 
heterogeneous computing resources, with traditional cores and GPUs, and 
the capacity of the center in terms of distribution and access to the 
collected data. A non-exhaustive list of possible objectives that can be 
addressed through innovative algorithmic strategies are: i) fast 
simulation of the detector response using antagonistic generative 
networks trained on real data; ii) discrimination of signal against 
background in a signal- model agnostic way; iii) detection of data 
anomalies through the analysis of time series.

The PhD student will be based in Florence but for at least 6 months to 
be spent at CERN.

More informations and a link to the online application can be found at

www.unifi.it 
<https://www.unifi.it/index.php?module=CMpro&func=viewpage&pageid=12402&newlang=ita> 



      Borse PNRR 2023 | Didattica | Università degli Studi di Firenze |
      UniFI
      <https://www.unifi.it/index.php?module=CMpro&func=viewpage&pageid=12402&newlang=ita>

Università degli Studi di Firenze

(both in italian and english)

Deadline 11th of August 12 PM CET

Please don’t hesitate to contact me in case of questions

Best
Vitaliano

------------------------------------------------------------------------

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-- 
/Please note that, regardless of when I sent this email, I don't expect 
you to answer me outside of the regular working hours of your local time 
zone./
Dr. Pietro Vischia
Ramón y Cajal Senior Researcher, Universidad de Oviedo
https://vischia.github.io
mobile: +34 666 986 616
office: +34 985 106 252
mail: pietro.vischia en cern.ch pietro.vischia en gmail.com
skype: rambling_hadron
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