Science is sexist. Women are under-represented across almost all areas of science, particularly at the higher levels of senior scientists and university professors. Mathematical and statistical modelling can provide insight into how, where and ocassionally why this is the case. Using data and observations
Supervisors
Primary Supervisor: Alex James
Key qualifications and skills
We use a range of tools including mathematical modelling (dynamical systems, stochastic processes), statistical modelling (regression, time series) and data science (machine learning, classification). A familiarity with one of these is useful.
Does the project come with funding
No - Student must be self-funded
Final date for receiving applications
Ongoing
How to apply
By email to primary supervisor
Keywords
gender; equity; modelling; data;
