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Omi Fully Funded PhD Studentships for Uk Eu and International Students

International students are invited for a PhD scholarship in UK. There is no application deadline for this position.

The Oxford-Man Institute of Quantitative Finance (OMI) is happy to announce fully funded Studentships in Machine Learning applied to Finance. Studentships are available for UK, EU, and International students.

The Oxford-Man Institute (OMI) of Quantitative Finance is an interdisciplinary research center in quantitative finance. It is part of the Department of Engineering Science (Information Engineering) and has a focus on alternative investments and data-driven science, especially machine learning. OMI members carry out academically outstanding research that addresses the key problems facing the financial industry. Researchers create new tools and methods that can give deeper insight into financial markets - how they behave, how they become stable or unstable, how to extract value from data at scales beyond human and how they could be made to work better. This is achieved through a unique combination of academic innovation and external engagement.

Applicants must have excellent written and spoken communication skills (English).

Eligible Countries:Studentships are available for UK, EU, and International students.

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).

English Language Requirements:Applicants must have excellent written and spoken communication skills (English).

How to Apply:Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria. Details are available on the course page of the University website.

Please quote 19ENGIN_SROMI in all correspondence and in your graduate application. Informal inquiries should be addressed to Prof. Steve Roberts:steve.roberts-at-oxford-man.ox.ac.uk.


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