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Forecasting by Learning the Evolution-driving Function


   College of Engineering, Design and Physical Sciences

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  Dr D Chakrakbarty  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentship for the project “Forecasting by Learning the Evolution-driving Function” starting 1 April 2022. Successful applicants will receive an annual stipend (bursary) of £17,609, including inner London weighting, plus payment of their full-time tuition fees for a period of 36 -months (3 years). 

Applicants must be classified as a home (UK) tuition fee paying student to be eligible for this studentship.  

The Project

Forecasting of future states of a generic, non-autonomous dynamical system will be undertaken by predicting the evolution-driving function, at a test time point in the future. Such prediction will follow Bayesian supervised learning of this evolution-driver, that will be enabled after a novel generation of this function within design time windows that host temporally-local stationarity of the system. Applications to real-world data will be undertaken.

Please contact Dr Dalia Chakrabarty at [Email Address Removed] to arrange an informal discussion about the project. 

Skills and Experience

Applicants with a background in Computational and Mathematical Statistics, and/or Probability. A strong computational background is relevant. Previous knowledge in Bayesian Statistics, Machine Learning, or Dynamical Systems, is not essential.

Academic Entry Criteria

You will have or be expected to receive a 1st class or 2:1 honours degree in Mathematics, Statistics, Physics or a similar discipline.  A postgraduate masters degree is not required but may be an advantage.   

How to Apply

Please submit the documents below as a single PDF file by email to [Email Address Removed] by 14:00 on Monday 28 February 2022.  

  • Your up-to-date CV;
  • Your personal statement (300 to 500 words) summarising your background, skills and experience. Please state the name of the project supervisor at the top of your personal statement;
  • Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
  • Your English Language qualification of IELTS 6.5 overall (minimum 6.0 in all sections) or equivalent, if applicable;
  • Contact details for TWO referees, one of whom can be a member of Brunel University academic staff

Interviews will take place in early/mid-March 2022. 


Funding Notes

Successful applicants will receive an annual stipend (bursary) of £17,609, including inner London weighting, plus payment of their full-time tuition fees for a period of 36 months (3 years).
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