Machine Learning for precision Standard Model measurements: preparing for Run 3 at the Large Hadron Collider

Summary
A fully-funded PhD studentship in the Department of Physics and Astronomy for three and a half years

You will receive:
fully-funded tuition fees for 3 and a half years (at the UK/EU rate)
a tax free bursary for living costs for 3 and a half years. For 2018/19 this is £14,777 per year
a research training support grant for 3 and a half years of £1,250 per year

PhD project
A 3-and-a-half year PhD position is available in in the Sussex Experimental Particle Physics Group.

The University of Sussex Experimental Particle Physics group plays a critically important role in a number of experiments at the frontiers of our knowledge of particle physics, with main involvement in: the ATLAS experiment and its upgrades at the CERN Large Hadron Collider, the SNO+ neutrinoless double beta decay experiment at SNOLAB (Canada), the NOvA, DUNE, and SBND neutrino oscillation experiments at Fermilab (USA), and the Neutron EDM experiment at PSI (Switzerland).

A PhD project is available to join the Sussex team working on the ATLAS experiment at the Large Hadron Collider. The student will work on exploiting Machine Learning techniques for precision measurements within the Standard Model of particle physics, and will spend a fraction of their time working on technical aspects of the trigger system used for collecting events of interest in the LHC Run 3 beginning in 2021. Regular contact with CERN-based experts over an extended period of time, with the possibility of spending up to 18 months at CERN in the second year of the PhD, as well as regular attendance in person and video conference to physics and trigger meetings are expected.

To be eligible you must:
be a UK/European Union (EU) student who has been resident in the UK/EU for at least three years.
have or expect to have a UK undergraduate/master’s degree, or equivalent, in Physics or a related subject.
We also welcome applications from self-funded non-EU students interested in our experimental programme

Procedure
Apply online at https://www.sussex.ac.uk/study/phd/apply

Select the PhD in Physics with a September 2019 start date.

In the Finance section, you should enter the name of the studentship, which is: Machine Learning for precision Standard Model measurements: preparing for Run 3 at the Large Hadron Collider

Be sure to supply all of the required documents, particularly your transcripts and the details of two referees.

Due to the high volume of applications received, you may only hear from us if your application is successful

Contact
For practical questions about applications and/or eligibility for funding, please contact Rebecca Foster at: [Email Address Removed]

For academic questions please contact the coordinator of EPP PhD admissions, Dr. W. Clark Griffith: [Email Address Removed] or the supervisor of this project, Dr Lily Asquith [Email Address Removed]

Timetable
The position will be filled as soon as a suitable candidate is found so you should apply as soon as you are able to.