Sufficiently Deep Supervised Learning in High-Dimensions & Fast Prediction, with Applications

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020. Applications are invited for the following specific project entitled “Sufficiently Deep Supervised Learning in High-Dimensions & Fast Prediction, with Applications”. Successful applicants will receive an annual stipend (bursary) of £17,285 plus payment of their full-time home, EU or international tuition fees for a period of 36 or 48 months (3 or 4 years).

The successful applicants will join the internationally recognised researchers in the Department of Mathematics. This project is dedicated to the application of a recently-advanced, dual-layered and free-form, Bayesian learning strategy that will be employed to learn the high-dimensional functional relationship between system parameters and a high-dimensional observed variable that affects said parameters. To reduce prediction times, while acknowledging complexities of real data, we will develop a classifier of the system parameter vector, given associated observable values, subsequent to the rigorous learning of the inter-variable relationship.

Applicants will be required to demonstrate their ability to follow basic concepts of Probability, and be proficient in computational work.

Please contact Dr. Dalia Chakrabarty at [Email Address Removed] for an informal discussion about the studentships.

Eligibility
Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.

Experience in Bayesian Statistics is an advantage. In addition, he/she should be highly motivated, able to work in a team, collaborate with others and have good communication skills.

How to Apply
Please submit your application documents (see list below) by Noon on Friday 26 June 2020 to [Email Address Removed] Interviews will take place in July 2020.
• Your up-to-date CV;
• Your personal statement (300 to 500 words) summarising your background, skills and experience;
• Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
• Evidence of your English language skills to IELTS 6.5 (or equivalent, 6.0 in all sections), if appropriate;
• Contact details for TWO referees, one of which can be an academic member of staff in the College.
Remember to state the title of the project at the top of your personal statement.