Overview

This Extreme learning to handle 'Big Data' PhD study at Cranfield University will address this research challenge. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning.

A typical caveat of data-driven modelling using learning algorithms as Extreme Learning Machine (ELM) is that training data should cover the entire domain of process parameters to achieve accurate generalization of the trained model to new process configurations.

Features

In practice, this might not be possible, that is the sample data could cover only some space, not entire space, of process parameters.

Integrating prior knowledge into the learning could enable accurate generalization of the data-driven model even when the space of system parameters is only sampled sparsely.

Programme Structure

Curriculum:

Consequently, it will improve the performance of the learning.

Integration of the prior knowledge of the system into the learning procedure will be quite challenging since the key enabler of its very powers is the universal approximation capabilities.

Sampled data are generally noisy, outliers occur, and there always exist a risk of overfitting corrupted data.

Therefore, the learned function may violate a constraint that is present in the ideal function, from which the training data sampled.

Key information

Duration

Full-time
- 36 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

TOEFL^® IBT

92

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Delivered

On Campus

Campus Location

Cranfield, United Kingdom

Disciplines

Data Science & Big Data View 30 other PhDs in Data Science & Big Data in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

92

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Other requirements

General requirements

For this research studentship, we are seeking a talented graduate, having (or be expected to obtain) at least an upper second class honours degree (first class honours preferred), MSc or equivalent in Mechanical, Electrical Engineering, Control Engineering, Aerospace or Computer Science.

Good mathematical background and experience with Matlab/Simulink, C++ and real time implementations and programming would be most desirable.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

22620 GBP / year

≈ 22620 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

5006 GBP / year

≈ 5006 GBP / year

Living costs

Cranfield

United Kingdom

700 - 1300 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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Scholarships Information

Below you will find PhD's scholarship opportunities for Extreme learning to handle 'Big Data'.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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