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Centre for Doctoral Training in Financial Computing & Analytics

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The PhD Centre in Financial Computing is privileged to have the expertise of world-class academics, who act as advisors to lead and support the students during their 4 year period of study.

Under such elite supervision, our programme of postgraduate education provides the technical depth and management skills breadth required for work in teams on large-scale issues. The students achieve this by undertaking a challenging and original research project at doctoral level as well as a formal programme of taught coursework to develop and enhance their technical skills.

Our advisors have many years of experience in their field of research, enabling our students to gain first-hand knowledge directly from the source.

Supervisor profiles

Explore the specialist research topics, interests and background details of academic advisors working with the PhD Centre in Financial Computing.

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Andrea Pallavicini
Numerical simulation of complex systems
Imperial College London
fereshteh-azadi parand
Martijn Pistorius
Stochastic processes
Imperial College London
Antoaneta Serguieva
Computational Finance: including behavioural analysis, risk modelling, contagion simulation, interdependence forecasting, hybrid knowledge representation, computational intelligence frameworks
John Shawe-Taylor
Machine Learning
Afzal Siddiqui
Energy economics, real options
Pietro Siorpaes
Robust Financial Mathematics
University of Oxford
Vineet Srivastava
Computational Finance
Trevor Sweeting
Statistics
Dirk Tasche
Risk analysis
Imperial College London

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Our PhD programme

Read about the programme structure, training facilities and work expected of Financial Computing PhD students.