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OMI Fully Funded PhD Studentships for UK, EU and International Students in UK, 2019

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

The Oxford-Man Institute (OMI) of Quantitative Finance is an interdisciplinary research centre 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.

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Fair chance for PhD Students.

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

Brief Description

  • University or Organization: Oxford-Man Institute of Quantitative Finance
  • Department: NA
  • Course Level: PhD programme
  • Award: £15,000 p.a.
  • Access Mode: Online
  • Number of Awards: Not Given
  • Nationality: UK, EU, and International students
  • The program can be taken in the UK
  • Application Deadline: Closed
  • Language: English

Eligibility 

  • Eligible Countries: Studentships are available for UK, EU, and International students.
  • Study Subject: Studentships are awarded in Machine Learning applied to Finance. Although the exact research topic is defined through discussion between student and supervisor(s), it is likely to be in one of the following broad areas:
  • Machine learning for multi-variate time-series modelling, forecasting, and event detection
  • Information extraction and fusion from ensembles of unstructured, non-stationary data
  • Deep (probabilistic) learning for extracting actionable insight
  • Dynamic learning under uncertainty for strategy and policy estimation in delayed reward environments
  • Understanding complex dynamic relationships on graphs and networks
  • Natural Language Processing for financial forecasting
  • Probabilistic multi-agent models
  • Optimization, Decision-making, and active learning
  • Entrance Requirements: Applicants must meet the following criteria:
  • Prospective candidates will be judged according to how well they meet the following criteria:
  • A first-class honours 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).

How to Apply

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

Benefits:

The 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.

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