About the Project
The complexity escalates when training deep learning algorithms on multi-modal data spaces. Projects include the development of algorithms for classifying unbalanced and/or data obtained from smart environments.
You can find out more here: https://datascienceplus.blog
Start date: January 2020, July 2020, October 2020, January 2021.
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 degree 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).
Taherkhani, A, Cosma, G, Alani, AA, McGinnity, TM (2019) Activity Recognition from Multi-modal Sensor Data Using a Deep Convolutional Neural Network. In , pp.203-218, ISBN: 9783030011765. DOI: 10.1007/978-3-030-01177-2_15.
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.