Stochastic and learning algorithms for high energy physics / M. Michel, A. Guillin, S. Monteil / Clermont
Chargée de recherche CNRS Laboratoire de Mathématiques Blaise Pascal UMR 6620
We are looking for a candidate to fill a funded PhD position on “Stochastic and learning algorithms for high energy physics” , ideally starting between June and September 2019 (or earlier). An internship taking place in the beginning of 2019 can precede the PhD.
The successful candidate will work at Université Clermont-Auvergne (UCA) and be part of the LHCb collaboration (CERN, Genève). She/He will be supervised by Manon Michel (Laboratoire de Mathématiques Blaise Pascal, UCA), Arnaud Guillin (LMBP, UCA) and Stéphane Monteil (Laboratoire de Physique de Clermont, UCA), member of the LHCb collaboration.
Further information and a detailed description of the project can be found in the attachment and are also available at www.normalesup.org/~mmichel/Positions.html . Any additional information request or application should be sent by email to email@example.com .
We would be grateful if you would bring this announcement to the attention of strong and enthusiastic students with a background in mathematics, statistical physics or particle physics and/or machine learning and encourage them to apply.
The position is open until filled.
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