Fellowship Programme Admin & Finance Associate

Corehr; Oxford; On-site; GBP 32,000 - 41,000; Part time

Benefits offered by this job

Pension scheme

38 days annual leave

Childcare services

Family leave schemes

Bus travel discounts

Job summary

Programme Administrative Assistant at University of Oxford (Schmidt AI in Science Fellowship Programme) is a fixed-term, part-time role (0.6 FTE) based at MPLS Doctoral Training Centre, Keble Road. You will support the administrative and financial management of the portfolio, recruit fellows, organise training, and handle purchasing and expense claims.

We seek candidates with strong admin/finance experience, excellent IT and communication skills, and a collaborative approach.

Qualifications

• Relevant experience in administration and finance, working to deadlines with attention to detail and accuracy.
• Excellent IT, organisational and communication skills with an interest in process improvement.
• Strong team ethic and ability to work collaboratively across multiple programmes.

Responsibilities

• Provide admin and financial support across the Schmidt AI in Science Fellowship Programme portfolio.
• Coordinate recruitment of fellows and the administrative organisation of the training programme.
• Plan and deliver events and training activities.
• Process financial transactions: purchasing, casual teaching payments and expense claims.
• Support programme development and reporting to the Programme Manager and team.

Skills

Administration

Finance

IT skills

Attention to detail

Teamwork

Job description

Programme Administrative Assistant at University of Oxford (Schmidt AI in Science Fellowship Programme) is a fixed-term, part-time role (0.6 FTE) based at MPLS Doctoral Training Centre, Keble Road. You will support the administrative and financial management of the portfolio, recruit fellows, organise training, and handle purchasing and expense claims.

We seek candidates with strong admin/finance experience, excellent IT and communication skills, and a collaborative approach.