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Automatisation of optimisation problem formulation for real-world applications

  • Full or part time
    Dr T G Kalganova
    Dr M Abbod
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

With current development of AI and Big Data area, there is a strong need in development of the approach that allows to provide the efficient mapping of the existing data into the optimisation problem. At the moment there is a gap that requires significant understanding and development of new methodological approaches that will allow one to provide the connection gap between existing data and problem definition. The project will include the formulation of the approach on effective mapping of existing data and problem optimisation.
The skills required by the potential applicants are good skills in object-oriented programming, skills in analytical analysis. The knowledge of AI techniques is preferable.

Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: View Website. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)

How good is research at Brunel University London in General Engineering?

FTE Category A staff submitted: 63.45

Research output data provided by the Research Excellence Framework (REF)

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