[Todos] PhD position: Normalizing Flows and Their Applications in Precision Physics and Applied Mathematics

[Ernesto Arganda Carreras]

-------- Forwarded Message --------
Subject: 	PhD position: Normalizing Flows and Their Applications in 
Precision Physics and Applied Mathematics
Date: 	Thu, 6 Oct 2022 11:56:55 +0200
From: 	Johannes Lange <johannes.lange en cern.ch>
To: 	lhc-machinelearning-wg en cern.ch



Dear all,

we have an open position at Hamburg University (CMS group), shared with 
the Hamburg University of Technology via the DASHH graduate school, for 
a PhD student to work on the topic of normalizing flow networks and 
applications in HEP measurements and searches. You can find a short 
description below.
All details and the application form can be found here:
https://www.dashh.org/application/phd_topics/normalizing_flows_in_precision_physics/index_eng.html

It would be nice if you could forward this information to interested 
candidates.

Best,
Johannes



### Short description
The aim of the project is the development of deep normalizing flow 
networks (NFs) to obtain probability densities of stochastic data and 
demonstrate their usage in precision measurements and searches for new 
interactions in particle collisions at highest energies, as well as for 
inversion problems.

While deep neural networks are by now routinely used in most 
classification problems in particle physics, their usage is still 
limited since the understanding of the network response in terms of 
likelihoods is most of the time unknown. Likelihood-based estimation 
however is the standard working horse for both precision measurements of 
fundamental parameters (e.g. top quark mass) and for searches of rare 
processes (e.g. triple-Higgs interactions), where only a few measured 
events dominate the sensitivity. The NF approach can be a game changer 
towards interpretable neural networks for many applications. This 
however requires research for multiclass applications, uncertainty 
estimation, and inversion properties.

### Requirements
In order to apply you need to have a Master's Degree (or an estimated 
date of Graduation within the same year of application) in computer 
science, applied mathematics or natural sciences, preferably with an 
interdisciplinary training at the interface of natural and computer 
science or mathematics. Degrees from foreign universities and master 
degrees in non-research oriented study programs (Fachhochschule) might 
be eligible. For further information, consult the doctorate regulations 
(Promotionsordnung) of the respective partner university.

Full details can be found here:
https://www.dashh.org/application/requirements/index_eng.html

### Application form
Follow the "Apply"-link here:
https://www.dashh.org/application/phd_topics/normalizing_flows_in_precision_physics/index_eng.html

### Contact
In case of questions, do not hesitate to contact either
Prof. Peter Schleper, UHH (peter.schleper en uni-hamburg.de)
Prof. Daniel Ruprecht, TUHH (ruprecht en tuhh.de)
or myself, UHH (johannes.lange en uni-hamburg.de).


-- 
Dr. Johannes Lange
Institut für Experimentalphysik | Universität Hamburg
Luruper Chaussee 149 | 22761 Hamburg | Germany
Phone: +49 (0)40 8998 - 2115 | Office: 68/112
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