Post Masters Placement Scheme (PMP)
Every year, over two hundred of the world's best young mathematicians come to Cambridge to study for a taught master's degree. The training we offer here has therefore a major impact on the shape of mathematics in the world, and on how mathematics interacts with other branches of mathematics and industry.
We recognise the need for highly trained mathematicians who relish engaging with other sciences and technology. Responding to this need, the Cambridge mathematics departments have developed a full training programme relating mathematics and challenges of science and engineering. As a centrepiece in this programme, the Post Masters Placement scheme provides opportunities for Master's students to get experience outside their field in the summer following their Master's studies.
The Post Masters Placements are short term placements not intended as a lead in to permanent employment. The goals of the program are twofold: first, to expose young mathematicians to the ways mathematics interacts with broad range of disciplines and industries; and second, to offer groups interested in applying maths in their work the chance to see what students trained in maths have to offer them.
Below on this page, you can see some examples of work done by past students in the program. You can use the menu to your left to register your interest in applying for a placement and to view this year's project proposals.
You can also submit a proposal to host a project.
Examples of Past Projects
- Artavanis - Interactions between the ciradian clock and temperature responses in Arbidopsis thaliana
- Austin - Interleaved scanning patterns for Doppler weather radar
- Bart - Using variational calculus to study pattern formation in plants
- Dang - Using biological and palaeontological evidence to calculate evolutionary history
- Dervan - Fluid flow in a porous medium in a two dimensional box
- Gooding - Pooling systems with specialisation and discretionary task completion
- Halcrow - Aldehyde Monolayers
- Hennock - Path Planning for Long Combination Vehicles
- Hughes - Dynamical properties of structural and spin glasses using the potential energy surface
- Kumon - Modelling the behaviour of haematopoietic stem cells
- Lee - Formalising linear algebra
- Maillard - Natural Language Processing with Distributional Compositional Models
- Mosterajan - Shape selection in Nematic Solids
- Pohorence - Differential geometry and optimal control
- Spelman - Detecting atmospheric vortices from Doppler radar data
- Vakar - Natural Language Syntax
- Zibrouwius - Lensless imaging via ptychography