Swansea University, Physics

Position ID:Swansea University-Physics-RA8 [#23654]
Position Title: Postdoctoral researcher in Lattice Field Theory and Machine Learning
Position Type:Postdoctoral
Position Location:Swansea, Swansea SA2 8PP, United Kingdom [map] sort by distance
Subject Areas: Physics / hep-lat, HEP-Lattice (hep-lat), Lattice QCD, Machine Learning, QCD, Quantum Field Theory, Statistical Mechanics, Statistical physics
Appl Deadline:2022/12/11 11:59PMhelp popup (posted 2022/11/09, listed until 2023/05/09)
Position Description:    

PDRA Lattice Field Theory and Machine Learning.     Advertising Department: Physics Department, Swansea University

  Contract Type: Fixed Term Contract

  Closing Date: 11th December 2022

  Salary: £36,386 per annum together with USS Pension benefits

  Hours of work: 35 hours per week

  Contract: This is a fixed term position for 2 years

Starting date: 1st October 2023

  Location: This position will be based at the Singleton Park Campus, Swansea University

Applications: We encourage applications to be submitted in the first instance via Academic Jobs Online but in order for applications to be official they must also be submitted to Swansea University via this link:

https://www.swansea.ac.uk/jobs-at-swansea/current-vacancies/details/?nPostingID=128339&nPostingTargetID=157754&ID=QHUFK026203F3VBQB7VLO8NXD&lg=UK&mask=suext

Informal enquiries: For further information about this position, please contact Prof. Gert Aarts g.aarts@swansea.ac.uk or Prof. Biagio Lucini b.lucini@swansea.ac.uk

The Particle Physics and Cosmology Theory Group at Swansea University is seeking to recruit a postdoctoral research associate working at the interface between lattice field theory and machine learning. The post is for two years, and expectation is that start will be in the Fall 2023, although there is some flexibility for the start date.

The PDRA will join the research programme led by G. Aarts and B. Lucini, which covers topics such as machine learning applications to the study of observables near phase transition points, the inverse renormalization group, persistent homology methods for identifying topologically non-trivial field configurations and lattice field theory derived machine learning methods.

The project will include both analytical calculations and software development. The ideal candidate for the post will have a strong background in lattice field theory and/or statistical mechanics with ideally demonstrable experience in machine learning. Candidates with a background in topological data analysis or machine learning willing to learn lattice field theory will also be considered. Given the range of skills considered, candidates are invited to provide in their application full details about their previous relevant experience and their expertise.


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://www.swan.ac.uk/physics/
email
 
Department of Physics
Swansea University
Singleton Park
Swansea SA2 8PP
United Kingdom