The following doctoral studentship is available in the School of Physical and Chemical Sciences at Queen Mary University of London to start in September 2022.
For more information on how to apply for this or other funded opportunities available please visit our website: https://www.qmul.ac.uk/dce/applications/
Applications are being accepted on a rolling basis (first come, first served) until the deadline: 19th September 2022.
The funding will cover tuition fees at the Home Student rate (please see below for information), and an enhanced maintenance stipend of £21,245 tax free (including London Weighting Allowance).
Title: Application of Machine Learning in a High Precision Search for New Physics at the Large Hadron Collider.
Keywords: Inverse problems, machine learning, unfolding, particle physics, LHC, CERN, lepton flavour violation
Summary:
The ATLAS detector at the Large Hadron Collider (LHC) is a sophisticated experimental apparatus collecting proton-proton collision data at the highest energies achievable, located at the CERN laboratory, Geneva. The experiment aims to find new physics that could explain some of the biggest questions in modern physics: Why is our universe made of matter and not anti-matter? What is the nature of Dark Matter?
This summer the LHC started a new 3-year data-taking run with upgraded detectors. The data is collected by ATLAS using multiple subdetectors recording collisions every 25 nanoseconds in over 100,000,000 electronic channels. Large numbers of electroweak boson particles will be produced and used as high precision probes in the search for new exotic physics.
The response of the ATLAS detector is accurately simulated using data-intensive techniques and then used to correct the data for biases and miscalibrations. This detector response inversion allows us to accurately measure the true underlying physics. In this project we will apply novel data-centric techniques to the inversion problem which will include machine learning classification. The methods will be developed to propagate all measurement uncertainties and will be applied in the search for Lepton Flavour Violation at very high collision energies.
Eligibility:
Candidates should usually have:
- an undergraduate degree of 2:1 or above (or equivalent non-UK qualification) in a relevant subject such as Engineering, Physics, or Computer Science. Candidates without a first degree or qualifications below a 2:1 degree are welcome to apply and will be considered on a case by case basis should they have at least five years of relevant work experience (post qualification).
- been awarded their most recent degree (if any) before November 2019. There is potential flexibility for more recent graduates, please contact Prof. Rizvi for more details ([Email Address Removed]).
- at least two years' full-time employment (or equivalent) in a related field prior to applying, preferably for a UK company or a company with a substantial connection to the UK;
- the aim to further their career within UK Industry
We particularly welcome applicants who:
- Who have faced barriers to accessing education, e.g. financial barriers, perceived lack of alignment between education and professional development needs, lack of flexibility around work and/or family commitments;
- Have taken a career break;
- Belong to or identify with groups who have been historically underrepresented and marginalised in Science, Engineering, and Technology, as well as in doctoral-level study
- Have not considered pursuing a Doctorate before
Funding eligibility criteria
We appreciate all talent and skills, and we welcome applicants of all backgrounds and identities. Our applications are open to both home and international students who meet all the programme entry criteria. We can allocate up to 30% of our places to International Students. Regretfully however, the funding allocated to us does not cover the full cost of tuition for those classified as international students. If a candidate classified for fees at the international student rate is offered a place on the programme, the difference between home and international fees will have to be covered from other sources, e.g. additional funding, the employer, or the student directly.
In order to be classified as a Home Student and be eligible for full funding, applicants must:
- Have no restrictions on how long they can stay in the UK
- have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. For example:
o UK nationals
o EU nationals seeking permanent settlement in the UK
o nationals of any other country with unrestricted UK immigration status (e.g. indefinite leave to remain) and full-time residence in the UK.
If in doubt please contact us with full details of your degree award dates, nationality, immigration status, and residency since 2019.
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