PhDs in this area will be supervised by the Statistical Cybermetrics Research Group, a team of recognised experts in scientometrics, webometrics, and altmetrics. A majority of the research submitted by the group to the last national evaluation (REF2014) was judged to be “world leading”. The three topics involve quantitative analyses of publication or web data to investigate methods to evaluate research outputs. PhD ideas from any of these areas will be considered, in addition to statistical PhDs that address issues deriving from scientometrics, webometrics, or altmetrics.
The group has a 100% success rate for its previous PhD students.
As a PhD student, you would meet with your director of studies monthly and attend the monthly Statistical Cybermetrics Research Group doctoral forum in which you will hear about others’ research and update them about your work. You could expect to attend one or two international conferences and publish up to three international journal articles during your studies. You will also benefit from being part of the Research Institute for Information and Language Processing, giving you access to text processing expertise and a joint seminar series of international invited speakers.
Applicants for a research degree shall normally hold either:
• a first or upper second class honours degree, or
• a master’s degree, or
• evidence of prior practice or learning that is accepted by the Dean of Research.
An Applicant whose entry award was not delivered in English, or non-native speaker of English shall be required to demonstrate proficiency in English at least to the level of an IELTS score of 7.0 or its equivalent to be registered as a Research Degree student.