Part-time Graduate Teaching Assistants (3 years) (up to 2 posts)

This vacancy is only for applying and current Oxford University DPhil Computer Science students.

The Department of Computer Science, University of Oxford, is seeking a Part-time (50% FTE) Graduate Teaching Assistants (up to 2). Reporting to the Head of Academic Administration you would be teaching (primarily classes and practicals, and lectures if required), supervising, and providing pastoral care for undergraduate and graduate students.

You should be accepted to, or be enrolled in, a DPhil course at the University of Oxford Computer Science Department and have a first degree in Computer Science or a related field. You should also have excellent communication, and planning and organising skills, together with previous teaching experience and previous experience working in higher education.

All applicants must complete an application form and submit a CV and supporting statement.

The closing date for applications is 12 noon on 14th March 2025. Interviews are expected to be held in March

Together with this role, applicants may also be interested in applying for Vacancy 177821.

We are a Stonewall Top 100 Employer, Living Wage, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.

Demonstrating a commitment to provide equality of opportunity. We would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.