Equality, Diversity and Inclusion

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
Male9
Female3
Other / No Data0

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   
Male2842
Female520
Other / No Data000

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.

We are keen to recruit new PhD students from under-represented groups. Please apply by contacting one of the affiliated academic staff.

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