Academic postions

Vacancy for Lecturer / Senior Lecturer / Reader in Statistics

The School of Mathematics and Statistics welcomes applications from research areas in Data Science/Computational Statistics that complement the existing strengths within the School. The post-holder will develop, lead and sustain research of international standard in Data Science/Computational Statistics, contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation.

For appointment at Reader you will have an outstanding track record of national and international distinction and leadership in research, including publications, income, and awards, bringing external recognition and distinction to yourself and the University.

You can view the job description online at by searching for reference number 030793.

The closing date for applications is 11 December 2019.

Postdoctoral postions

Currently no vacancies available

Professional, Administrative and Support opportunities

Currently no vacancies available

Funded Ph.D opportunities

Iapetus PhD studentships

* Glasgow: (Teed, Simitev)

The force balance in Earth's core and its implication for the geodynamo

* Newcastle: (Guervilly, Simitev, Teed)

Formation and Dynamics of a Stably Stratified Layer below the Core-Mantle Boundary

The Generation of the Earthʼs Magnetic Field: The Strong-Field Regime

Also see


Theoretical modelling of cell response to external cues (PhD)

Supervisors: Peter Stewart
Relevant research groups: Continuum Mechanics - Fluid Dynamics and Magnetohydrodynamics, Continuum Mechanics - Modelling and Analysis of Material Systems, Mathematical Biology

Cells and tissues respond to mechanotransductive and biochemical cues. These external cues interact with protein signaling pathways within the cell and can trigger changes in size, structure, binding and differentiation. This project will use theoretical modelling to examine the response of an array of cells to various external mechanical and biochemical cues, considering how these cues can be tailored to optimize a particular outcome. The model will couple the mechanical components of the cell (nucleus, cytoskeleton,…) to internal protein expression pathways (Myosin II, MLCK,…) and the properties of the external stimuli. The model will take the form of coupled differential equations which will be solved using both analytical and numerical methods.

This model will be validated against experimental data in two main ways, including examining the response of the array to small amplitude mechanical vibration (‘nanokicking’) to predict its influence on the behavior of the array over long timescales. The model will also be used to understand growth factor delivery using PODS® technology developed by Cell Guidance Systems to predict the optimal spatial arrangement of PODS® relative to the array and the resulting temporal and spatial profiles of both the growth factor and the cell growth and proliferation.

This project is part of the LifETIME Centre for Doctoral Training

and involves collaboration with Prof Matt Dalby (Institute of Molecular, Cell and Systems Biology) and industrial partner Cell Guidance Systems. Applicants must apply to the CDT (details on the website) to be considered for this project.