PhD Position: Computation and Information
Information Theory has transformed the transmission and storage of data since Claude Shannon described its first principles in 1948.
More recently, Quantum Information Science has revolutionised our knowledge, not just of computation and information, but of the very nature of reality itself.
In this project, you will explore and discover new techniques in a topic fundamental to both of these fields: error correction.
Efficient and reliable error correcting codes are fundamental to current and future computing models.
You will focus on discovering and developing new codes and techniques, testing and proving their efficacy.
The focus will be on the computational aspects of codes, using computational techniques to explore the coding landscape and make new discoveries.
This project sits at the intersection of computing, mathematics, statistics, and physics.
A broad interest in these fields is essential, with a background in at least one of them.
During the project you will sharpen your computational and mathematical skills,
Becoming proficient in the use of computational techniques.
We are looking for a self-motivated candidate who can work both autonomously and as part of a team..
The successful candidate will have a background in computing, mathematics, or a similar field.
Experience in programming for numerical and machine learning tasks is desirable, especially with the Python programming language.
The candidate should be comfortable working with and consolidating data from several different sources in different formats.
An ability to work both independently and as a part of team while under the supervision of academic staff is essential.
Please send to Veronica Cawley – [Email Address Removed] Only using the application form.
Application Form / Terms of Conditions can be obtained on the website:
The closing date for receipt of applications is 5pm, (GMT) 31st July 2022