About the Project
These studentship will focus on emerging machine learning techniques especially focus on Deep Learning abstraction designs to interpret real-time heterogeneous large scale data. This is a novel area of computer science that encompasses a multi-disciplinary working. The project can be categorised in three main research intensive components:
• Formulate and assemble heterogeneous large scale datasets for machine learning;
• Realise and deploy machine learning based on Deep Learning intelligence algorithms on the datasets;
• Develop and validate visual analytic tools for interactive human-in-the-loop learning processes.
These studentships will cultivate and lead to entirely new interactive visualization tools to enable exploration of real-time heterogeneous large scale data.
This project has guaranteed funding for three years. The project will pave the way for a high quality PhD thesis supported by impacting publications in top journals and conferences. The supervisory team comprises UWS academics. Their expertise in these research topics together with the motivation and involvement of the candidate will guarantee the success of the project. The final outcome will be a real time concept demonstrator to show the university research standing and help to get external funding.
• Artificial Intelligence
• Machine learning
• Computer vision
Experience with one or more of the following technologies is also required: Python, Matlab, C/C++.
Why not add a message here
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.