Automated Big data analysis PhD work focuses on automating data analysis on numerical data using data analysis tools.
This project uses an artificial intelligence-based automated data mining process to do feature extraction and data analysis, which includes removing irrelevant features.
Also, the process needs to be able to classify the samples into the correct classes automatically.
This classification needs to undertake using artificial intelligence methods so that when classification is not successful, the decisions that the method has made was investigated to change the input features in some way so that the next iteration will result in a different classification.
The purpose, therefore, is to identify an iterative process that will learn which features are essential in an automated manner.
The overall methodology developed will be tested against synthetic and also real-world datasets..
Requirements for PhD in Big data
Candidates should have a UK honors degree at 2.1 or above (or equivalent) in Engineering, Physics or Computational Science.
Applicants should have a background in computer coding, algorithms, and data analysis.
Application procedure
- Apply for Degree of Doctor of Philosophy in Engineering
- Mention Name of the lead supervisor as the Name of Proposed Supervisor
- State ‘Self-funded’ as Intended Source of Funding
- Specify the exact project title on the application form
Attach following ocuments while applying:
- All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
- Detailed CV
Informal inquiries made to Dr. A Starkey ([email protected]) with a copy of your curriculum vitae and cover letter. All general inquiries directed to the Postgraduate Research School ([email protected])
