The Center for Spatial Computational Learning is keen to support improved equality, diversity and inclusion (EDI) in the research field.
Gender Statistics
UCAS data suggests that in the UK 81% of both CS students and Engineering / Technology undergraduate students are male. This forms a useful baseline when comparing our own statistics.
As of January 2020, the gender breakdown of our affiliated PhD students is as below.
| | Number of Students |
| Male | 9 |
| Female | 3 |
| Other / No Data | 0 |
Our PhD student numbers suggests a slightly better balance than in the undergraduate population
There are two full-time research posts funded by the center. The number of male and female applicants, interviewees and appointments for these posts are given below.
| | Applications | Interviews | Appointments |
| Male | 28 | 4 | 1 |
| Female | 5 | 2 | 1 |
| Other / No Data | 0 | 0 | 0 |
Men were over-represented in our applications, but even so a greater proportion of women were shortlisted. Appointment numbers are too small to be significant, but they are 50/50.
We are keen to recruit new PhD students from under-represented groups. Please apply by contacting one of the affiliated academic staff.
Spatial Computational Learning 