EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)

Organization profile

Organisation profile

SAMBa is the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath. In a world of fast moving decision making, based on myriad sources of large and complex data, the need to robust collection, analysis and interpretation of that data is essential. Statistical Applied Mathematics brings together the research areas of applied maths, stochastic modelling, numerical analysis and statistics, in a multidisciplinary and industrially motivated environment. It provides researchers with tools to not only undertake novel and creative research, but also to communicate their results and build successful collaborations across traditional boundaries. SAMBa is funded by EPSRC and the University of Bath, based in the Mathematical Sciences department but with collaborators from across campus, the UK, internationally and outside of academia. Students undertake a four year programme, which consists mainly of taught courses in year one and research in years two to four. We also run biannual Integrative Think Tanks (ITTs) which bring together students, academics, and partners to formulate mathematical approaches to high level industrial and societal challenges. For more information see our website: www.bath.ac.uk/samba

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Psoriatic Arthritis Medicine & Life Sciences
Football Medicine & Life Sciences
Engines Engineering & Materials Science
Composite materials Engineering & Materials Science
Laminates Engineering & Materials Science
Turbines Engineering & Materials Science
Energy harvesting Engineering & Materials Science
Solitons Engineering & Materials Science

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Projects 2008 2023

Research Output 1977 2018

A 3D parallel Particle-In-Cell solver for wave interaction with vertical cylinders

Chen, Q., Zang, J., Kelly, D. M. & Dimakopoulos, A. 1 Jan 2018 In : Ocean Engineering. 147, p. 165-180

Research output: Contribution to journalArticle

Water waves
Fluids
Message passing
Advection
Computational efficiency

A community-based physical activity intervention to prevent mobility-related disability for retired older people (REtirement in ACTion (REACT)): study protocol for a randomised controlled trial.

Stathi, A., Withall, J., Greaves, C. J., Thompson, J. L., Taylor, G., Medina-Lara, A., Green, C., Bilzon, J., Gray, S., Johansen-Berg, H., Sexton, C. E., Western, M., De Koning, J., bollen, J. C., Moorlock, S., Demnitz, N., Seager, P., Duralnik, J., Rejeski, W. J. & Fox, K. R. 18 Apr 2018 In : Trials. 19, 228, p. 1-12 12 p., 19:228

Research output: Contribution to journalArticle

Open Access
File
1 Citations
Molecular dynamics
Hardware
Computer systems
Parallel architectures
Partial differential equations