Experimental High Energy Group at TSU
ATLAS is one of the four major experiments at the Large Hadron Collider at CERN (Geneva, Switzerland). It is a general-purpose particle physics experiment run by an international collaboration and is designed to exploit the full discovery potential and the huge range of physics opportunities that the LHC provides.
The Higgs boson discovery during LHC Run 1 had profound implications on the preparations for the LHC upgrade.
The HEP group at TSU has a focus in physics analyses such as fermionic decays of the Higgs boson, as well as in upgrades of the ATLAS Muon Spectrometer, where triggering requires very fast and increasingly sophisticated processing of data.
Labor agreement based on a six-day working per week and two months of vacation, ensuring full social security.
Position will be based at TSU with frequent travel to CERN.
Compliance with mandatory reportable indicators (including at least three publications indexed by Scopus and Web of Science annually), teaching at TSU up to 6 hours per week or working with students and graduate students.
Participation in meetings and workshops, opportunity to participate in a competition for vacant positions as a staff at TSU.
Working for other organizations, universities, companies, etc. is not acceptable within the terms of this position.
The position requires the successful applicant to work at the forefront of technologies relevant to this field. The applicant must have a Ph.D., or equivalent, in Particle Physics, Computer Science or Data Science and must have a strong interest in Experimental Particle Physics and Big Data Analytics.
The successful job candidate will be expected to focus on detector simulation and performance studies for the final design of the upgraded Muon Spectrometer. The candidate is expected to play a leading role in full simulations characterizing trigger options that maximize physics reach of the ATLAS muon upgrade Phase II (2018-2023).
The Supercomputer Center SKIF-Cyberia at TSU is used for deployment of the latest Data Science tools e.g. Apache Spark. The candidate is expected to take responsibilities in development of Machine Learning techniques for ATLAS data classification. You will also be able to contribute to physics analysis.
In addition to the standard conditions (http://postdoc.tsu.ru/node/3?lang=en), candidates with experience from a hadron collider experiment and Data Science are particularly favored.
The applicant should also have experience in C++/Python.
Review of applications will begin immediately and will continue until the position is filled.