Research Fellow in Machine Learning for Neutrino Physics

University College London Hospitals NHS Foundation Trust
Charing Cross, United Kingdom
12 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 53K

Job location

Charing Cross, United Kingdom

Tech stack

Machine Learning
Raw Data

Job description

We are looking for an outstanding particle physicist and expert machine-learning practitioner to join UCL's neutrino group leading the development, calibration and application of state-of-the-art ML techniques for fast physics simulation of neutrino events produced in the NuMI long baseline experiments based on existing simulation and data. To extract the maximum possible information from the very basic raw data avoiding a heavy and potentially inefficient analysis chain. The goal is to improve analyses of the neutrino oscillation parameters using up to date theoretical information and potentially feed back to the theory community on parameter values.

Requirements

Do you have experience in Machine learning?, The successful candidate will have (or be about to submit) a PhD in particle physics, and a strong record of originality in research, demonstrated by a good publication record, commensurate with the applicant's career stage. They will have excellent written and verbal communication skills, and will have shown evidence of future leadership potential. Given the short-term nature of this role, experience in developing and applying cutting-edge machine learning models for applications in experimental HEP and beyond is essential.

About the company

UCL is one of the world's top universities based in the heart of London. It is a modern, outward-looking institution. UCL's staff and former students have included 33 Nobel prize-winners. It is a truly international community: more than one-third of our student body - more than 50,000 strong - come from 150 countries and nearly one-third of staff are from outside the UK. The UCL High Energy Physics (HEP) Group is one of the largest groups in the country (~100 members, including around 20 academics and 40 PhD students), with a programme covering a broad range of the HEP field, including the exploration of the energy frontier (ATLAS), Neutrinos, Dark Matter, flavour physics and phenomenology, as well as Accelerator R&D and applications such as Proton Beam Therapy. Our neutrino group has key involvements in NuMI long baseline neutrino experiments (MINOS and NOVA) and the future DUNE experiment. We have led the major 3 flavour oscillation analyses for both NuMI experiments and maintain leadership positions within the DUNE collaboration.

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