PhD project: Big Data Handling For Hadron Physics
A Ph.D studentship is available in developing advanced analysis methods and big data handling for hadron and nuclear physics. CLARA (Service Oriented Architecture) was developed at Jefferson Lab for the reconstruction of CLAS12 experimental data. The principal goal of CLARA is to provide a computing environment for efficient Big Data processing. The CLAS12 collaboration aims to utilize CLARA to develop experimental data preservation, cataloging and distribution system. The development will require investigation of data formats suitable for storing experimental data and provide integration with already established data searching and sorting systems (such as Hadoop). Distributed data provider systems can run on computer clusters of collaborating universities and provide search, discovery and selection of data. The project will involve work in Edinburgh and at the Jefferson laboratory in the USA. There will also be possibility to use the data handling developments to extract exciting new science from our experiments at Jefferson Lab. Please get in touch from more information on these aspects.
- Professor Daniel Watts (School of Physics & Astronomy, University of Edinburgh)
The project supervisor welcomes informal enquiries about this project.
Find out more about this research area
The links below summarise our research in the area(s) relevant to this project:
- Find out more about Nuclear and Hadron Physics with Electromagnetic Probes.
- Find out more about Nuclear Physics.
- Find out more about the Institute for Particle and Nuclear Physics.
- Find out how to apply for our PhD degrees.
- Find out about fees and funding and studentship opportunities.
- View and complete the application form (on the main University website).
- Find out how to contact us for more information.