About the Project
Feature selection using Deep Neural Networks has not been well studied, despite its importance which facilitates understanding of data. Projects under this topic concern the development of algorithms which are capable of removing irrelevant features from large uni-modal and multi-modal datasets. Projects include detection and analysis of anomalous data in various environments such as smart environments, information retrieval, and biomedical applications.
Start date: January 2020, April 2020, July 2020, October 2020.
Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Computer Science with a strong interest in Artificial Intelligence and data-science. Applicants must be competent in programming and applied mathematics, and should have a strong ability to write computer programs preferably in the Python programming language. An MSc in Artificial Intelligence and/or Data Science is highly desirable.
How to apply:
All applications are made online, please select the school/department name under the programme name section and include the quote reference number.
Band RB (UK/EU: TBC; international: £22,350).
Available from: https://www.sciencedirect.com/science/article/pii/S0925231218311020
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