Lecturer in Physics - Liverpool, United Kingdom - University of Liverpool

Tom O´Connor

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Tom O´Connor

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Description

We are pleased to announce an exciting opportunity for a Lecturer in the Department of Physics in the field of Particle Accelerators, with a focus on Artificial Intelligence (AI) methodologies.


This role is inspired by our aim to boost the capabilities of research infrastructures through AI digital transformation, with significant benefits in environmental impact, energy consumption, and operational efficiency of particle accelerators.

You will be expected to be jointly based at the Cockcroft Institute on the campus of Daresbury Laboratory and in the Department of Physics at the University of Liverpool.


Our department was ranked ninth in the UK for Physics research outputs and seventh for the quality of our research environment in REF2021.

We have an excellent track record in the development of novel technologies, including sensors and detectors, and data science. Our academic staff hold important leadership roles in world-class experiments, and they are driving technology innovations that benefit society.


You will:


Work closely with existing academic and research staff in the Accelerator Science cluster and more broadly within the Department on the use of AI and machine-learning techniques for the design and optimization of particle accelerators.

Closely connect their work with activities in our STFC CDT LIV.INNO, liaise with internal and external stakeholders, strengthen, and grow strategic industry partnerships and data science R&D in the department, strategically contributing to the institutional DIGITAL research theme.

Act as a research leader in AI/ML within the Cockcroft Institute, formulating collaborations between university partners, ASTeC and the STFC SciML division.

Identify funding opportunities that show good potential for scientific breakthrough and/or generating impact be at the forefront of collaborative research, working closely with major research infrastructures, universities, and industry partners.

They will leverage AI to address core challenges faced by particle accelerators, including energy efficiency, sustainability, and performance limitations, thereby contributing to the advancement of fundamental physics and applied sciences.

Teach a range of lectures, laboratory classes and tutorials, including modules on AI/ML.

Exact teaching duties as well as the most appropriate salary spine point within the advertised range will be agreed based on background and experience.

You will have a PhD in Physics or a related discipline.


This post may be taken up on a part-time (a minimum of 0.5 FTE) or full-time basis (including a job share).


The University of Liverpool is a signatory to the San Francisco Declaration on Research Assessment (DORA) and so we do not permit the use of journal-based indicators when judging research quality.


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