As part of the SAMBa programme, we offer the opportunity for you to apply to work on exciting PhD projects which have been co-designed with one of our partners. Our co-designed projects are developed jointly by academics in the Department of Mathematical Sciences and partner collaborators, and bring interesting, fresh perspectives to challenges in organisations and other disciplines. The projects are often developed from our Integrative Think Tanks.
Next-generation statistical models of rivers and transport phenomena for the water industry
Having an industry partner for my PhD has benefitted me a lot. It’s nice having those outside links but also that different perspective. My collaborators have both worked for other companies before CEA and bringing that kind of expertise into the project is fantastic.
Monte Carlo methods for the neutron transport equation via branching processes in conjunction with Wood plc (and formerly Amec Foster Wheeler).
Mathematical and Statistical Analysis of time series data to quantify trends and events in ocean noise in conjunction with NPL.
Optimisation of wireless router location in conjunction with BT Group.
Mathematical modelling of formulation composition trade-offs for pesticides in conjunction with Syngenta.
Optimising First in Human Trials in conjunction with Roche.
Finite element methods for Boltzmann neutron transport equation on polygonal and polyhedral meshes in conjunction with CEA.
Raising the Roof: Extension of the Met Office’s Unified Model into the Mesosphere and Lower Thermosphere in conjunction with the Met Office.
Bayesian inference for low-resolution Nuclear Magnetic Resonance in porous media in conjunction with SLB (formerly Schlumberger).
Adaptive Undersampling in Spectromicroscopy in conjunction with Diamond Light Source.
Seamless and overarching approaches for optimizing over the phases of drug development in conjunction with Roche.
Exploring adaptive enrichment in clinical trials in conjunction with Phastar.
SLB (formerly Schlumberger). Mathematical and numerical problems in seismic imaging in conjunction with SLB (formerly Schlumberger).
