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SBND – Sterile Neutrino Search with the Short Baseline Neutrino Detector Experiment at Fermilab

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Awaiting Funding Decision/Possible External Funding
    Awaiting Funding Decision/Possible External Funding

About This PhD Project

Project Description

The Short Baseline Neutrino Detector (SBND) at Fermilab is a 100 ton liquid argon detector that is part of a suite of three new detectors based on new technology using liquid argon, sited in a neutrino beam at Fermilab. Sheffield is playing a leading role in construction of this new experiment, including contributing to design and construction of the main Anode Plane Assemblies (APAs). SBND is due to start full operation in 2020. The project will focus on analysis of data in the area of searches for sterile neutrino events and the relationship to the dark matter problem. This includes development of LARSOFT simulations. There will be opportunity to contribute to final commissioning and test activities, detector optimization and operation. The project offers a rare chance in neutrino physics to gain experience of both detector hardware and operation as well as data analysis towards new physics. There will be chance for long term attachment (6-12 months) in Chicago, Fermilab.

Science Graduate School:
As a PhD student in one of the science departments at the University of Sheffield, you’ll be part of the Science Graduate School – a community of postgraduate researchers working across biology, chemistry, physics, mathematics and psychology. You’ll get access to training opportunities designed to support your career development by helping you gain professional skills that are essential in all areas of science. You’ll be able to learn how to recognise good research and research behaviour, improve your communication abilities and experience technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more.

Related Subjects

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