Trinity College

G-Research Trinity PhD Studentship

£35,000 ~ £63,000 (annual)
Fees (Home) , Fees (International) , Maintenance , Student visa cost , Student immigration health surcharge , Other (see below)
3.5 Years (Fixed Length)
Prospective applicant
PhD
Full Time, Part Time
Europe, See full list
Nationality
Same as funding deadline for the course
March - April
2027/28

About

In 2027, two studentships funded by a generous donation from G-Research, will be awarded to an outstanding postgraduate student undertaking a PhD within the Departments of either Engineering, Computer Science and Technology, or Pure Mathematics and Mathematical Statistics, with a preference for those working on machine learning and AI modelling. Funding is available for one Home fee status student (with UK or EU citizenship) and one Overseas fee status student (with EU citizenship).

The successful candidates will join a cohort of postgraduate students supported by G-Research across the University.

Additional career development opportunities and relationship with G-Research are offered. These include a bi-annual career mentorship meeting with a G-Research Quantitative Researcher, a place on the company’s Spring into Quant Finance Program during second year, presentation and seminar invitations, annual dinner, and brand ambassador status. 

Award details

£35,000 ~ £63,000 (annual)
3.5 Years (Fixed Length)
Fees (Home) Fees (International) Maintenance Student visa cost Student immigration health surcharge Other (see below)

Conference/Travel Grant (£1500 per annum).

2
2027/28
No
Academic merit

Successful applicants may be contacted during their course by Trinity's Alumni Relations and Development Office to ask for a short account on their progress and experience at Trinity for the purpose of reporting to the donors of this award.

Eligibility

Prospective applicant
PhD
Full Time Part Time
Europe, See full list
Nationality
Home Overseas
4 departments/schools, See full list
Department / School
Trinity College

A preference for those working on machine learning and AI modelling.

Application Process

Yes

Key dates

Same as funding deadline for the course
March - April