The Oxford-Man Institute of Quantitative Finance (OMI) is offering a number of fully-funded PhD studentship in the area of Machine Learning applied to Finance. Either domestic or overseas students are welcome to apply. Three winners will be selected to receive this programme. Expired 392 days ago, try next time!
The Oxford-Man Institute of Quantitative Finance (OMI) invites applications for (up to) three fully-funded studentships in Machine Learning applied to Finance. Students will be supervised by members of the academic faculty at the OMI, namely Steve Roberts, Mike Osborne, Jan-Peter Calliess, Stefan Zohren and Xiaowen Dong.
University tuition fees are covered at the level set for UK/EU students, as are Oxford Course Fees (c. £7,730 in total p.a.). The stipend (tax-free maintenance grant) is c. £15,000 p.a. for the first year, and at least this amount for a further two and a half years.
Level and Area of Studies
PhD program in the area of Machine Learning applied to Finance.
Place of Study
The study will be taken in the United Kingdom.
Eligibility and Criteria
These studentships are funded through the Oxford-Man Institute of Quantitative Finance and are open to both UK & EU students (full award – fees plus stipend) and international students (partial award – fees at UK/EU rate plus stipend). Prospective candidates will be judged according to how well they meet the following criteria:
- A first-class honors degree in Engineering, Mathematics, Statistics, Computer Science, Physics or similar;
- Experience in machine learning and data analysis;
- Mathematical maturity with emphasis on estimation, inference and optimization theory;
- Ability to code in high-level scientific development language, e.g. Python, R, Matlab;
- Excellent written and spoken communication skills (English).
There is no nationality restriction.
25 January 2019.