Department of Physics, University of Milan

2998 10735
Position ID:University of Milan-Department of Physics-PHD [#10735]
Position Title: Doctoral Student
Position Type:Other
Position Location:Milano, Lombardia 20133, Italy [map]
Subject Areas: Machine Learning
Physics / Theoretical Physics
Mathematical Physics
High Energy Physics
High-Energy Theory
Appl Deadline:2018/04/15 (posted 2018/01/12, listed until 2018/07/12)
Position Description:    

*** the list date or deadline for this position has passed, and no new applications will be accepted. ***

The theoretical high energy phenomenology group led by Stefano Forte at Milan University (Italy) invites applications for two PhD fellowships, funded by the N3PDF ERC Advanced Grant. The successful applicants will be enrolled in the Ph.D. school at Milan university in the beginning of the academic year 2018-2019 and will be expected to graduate within three years having satisfied the necessary requirements (http://phd.fisica.unimi.it/). Their PhD fellowship will be fully funded, with a living allowance added to standard fellowship. In addition they will be provided with administrative and logistic support and they will be endowed with a very generous travel allowance supporting their participation in schools, conferences and collaboration meetings and scientific exchanges.

The successful applicants will join the N3PDF team, together with an assistant professor (tenure-track) and two postdocs, all being recruited now. The N3PDF project (see http://n3pdf.mi.infn.it) aims at the development of innovative theoretical and phenomenological results and techniques in perturbative QCD, machine learning, statistical modeling and inference, with the determination of parton distributions in mind as a non-exclusive goal. The team will be in close contact with the NNPDF collaboration, currently counting 15 members at 12 institutions in five European countries (see http://nnpdf.mi.infn.it), and participate in biannual collaboration meeting and frequent exchange programs.

One of the two Ph.D. projects will be focused on machine learning, and the other on QCD resummation, but both Ph.D. students will be expected to interact with each other and with the rest of the team and be involved in all its scientific aspects.

Candidates expecting to complete a Master degree in Physics or related disciplines are encouraged to apply. An interest in interdisciplinary applications, and willingness to work in a team would be appreciated.


Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
http://n3pdf.mi.infn.it
email
 
Dipartimento di fisica
Università degli Studi di Milano
Via Celoria 16
20133 Milano
Italia

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