Teaching
Funded PhD studentship: Precise predictions for lepton scattering experiments
Particle physics experiments involving leptons are among the most precise experiments in all of science. They can be used to stress-test the Standard Model of Particle Physics at many different energy scales if the underlying processes are sufficiently well understood. Examples include existing experiments such as Belle II (Japan), MUSE (Switzerland) and ULQ2 (Japan) as well as planned experiments such as MUonE (Switzerland) or MAGIX (Germany) but also the proposed 100km collider FCC-ee at CERN.
For these experiments to reach their physics goals, they will require a very precise understanding of the processes they plan to measure, e.g. the production of leptons or pions in electron-positron collisions (ee → ee, μμ, ττ, ππ) or the scattering of electrons or muons off a target (ep→ep, μe→μe). To this end, the processes are calculated in the Standard Model to very high precision using Monte Carlo codes.
As part of your work, you will be embedded in a growing international collaboration with members in Italy, Germany, Spain, Switzerland, and the UK. You will work closely with experimentalists from around the world to tailor McMule to their needs.
Preference is given to applicants submitting before 9 February (midnight UK time). Later applications will be considered until the position is filled. Interviews are anticipated for the end of February.
Background of applicants: Prior background in theoretical particle physics would be an advantage. Programming experience would be helpful but is not required. The successful candidates should have or expect to have at least a 2.1 degree or equivalent in Physics and/or Mathematics. Due to funding constraints, only home students are eligible.
For more information and informal enquiries, please contact Yannick Ulrich. When applying please quote the advert code MPPR0006. Funding is provided by the University of Liverpool following UKRI rates for 3.5 years covering fees and a stipend of £19,237 p.a. for living costs.