Mathematics and Statistics

  • //applyindex.com/wp-content/uploads/2023/11/United-Kingdome.png UK
  • University/Institute Name University of Brighton
  • Attendance Type On Campus (Full Time)
  • Position Duration3 years
  • Position Funding Type PhD Studentship
  • Unspecified Unspecified

Position Details (PhD Program)

In taking your PhD in Mathematics and Statistics with the University of Brighton, you are joining a research culture that focuses on developing and applying theory and methods to help solve real world problems.

We welcome PhD students with interdisciplinary projects, offering a wealth of close interaction with the university’s science departments. We have had many successful PhDs that connect with areas such as biology (e.g. big data analysis) and computing (e.g. visualisation). 

Key facts

As a Mathematics and Statistics Mathematics and Statistics PhD student at University of Brighton University of Brighton , you will benefit from:

  • a supervisory team comprising two or sometimes three members of academic staff. Depending on your research specialism you may also have an additional supervisor from another school, another research institution, or an external partner from government or industry. 
  • desk space and access to a desktop PC, either in one of the postgraduate offices on the 6th floor of the award-winning Cockcroft Building, or within the adjacent Huxley Building.  
  • access to a range of electronic resources via the university’s Online Library, as well as to the physical book and journal collections housed within the Aldrich Library and other campus libraries. 
  • use  of various state-of-the-art research facilities on the Moulsecoomb site.

We are particularly interested in projects that align to one of our specialist themes:

  • The Computational Methods theme focuses on the development of numerical methods for solving problems in applied mathematics and engineering.
  • The Discrete Mathematics theme is interested in the development and application of discrete mathematical techniques, particularly as applied within computer science.
  • The Statistics and Operational Research theme has a wide range of research interests from theoretical probability to applied statistics and rigorous machine learning.

Research Areas & Fields of Study involved in the position

Position Start Date