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

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Projects 2008 2023

Accelerated Discovery of Novel Adsorbents Using Persistent Homology

Lennox, M. & Hook, J.


Project: Research-related fundingResearch

Facilitating and supporting creativity and innovation in the Unified Social Assistance System

Brown, S.


Project: Research-related fundingInternational Collaboration

Research Output 1977 2018

4D ECT Scanning with a Combined Sensor

Chittenden, C. & Soleimani, M. 2018

Research output: Contribution to conferencePaper

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
Message passing
Computational efficiency


Dataset for "Structure of inactive states of a binary Lennard-Jones mixture"

Jack, R. (Creator), Coslovich, D. (Creator), University of Bath, 2016


Data for 'Toward healthy housing for the displaced'

Albadra, D. (Creator), Coley, D. (Creator), Hart, J. (Creator), University of Bath, 11 Jan 2018


Dataset for resource-efficient fibre-integrated temporal multiplexing of heralded single photons

Francis-Jones, J. (Creator), Hoggarth, R. (Creator), Mosley, P. (Creator), University of Bath, 29 Nov 2017