PhD Studentship in Computer Science at City, University of London

Investing in Academic Excellence

Closing date: November 21St 2022

Student title: Conservative Bayesian Assessment of Classifiers used for Malicious Network Activity Detection

Applications are invited for a PhD studentship in the Department of Computer Science. The successful candidate will have the opportunity to develop, and apply, sophisticated (Bayesian) statistical techniques for assessing machine learning (ML)-based cyber-defense tools.

The PhD will involve acquiring an excellent understanding of Machine Learning (ML) algorithms used in cyber-defense tools, and developing novel Bayesian statistical techniques for assessing these tools. The research will also entail a significant amount of programming using Python and deep learning frameworks. The results of the research will be of interest to organizations and institutions employing ML for cyber-defense. The skillset gained by the PhD candidate will be highly desirable in both industry and academia.

More details can be found here:


The studentship is for 3 years and provides full coverage of tuition fees (Home and Overseas) and an annual tax-free stipend of £12,000 (in 2021/22). There will be opportunities to earn an additional £2.2K pa on average (max. is around £4.3K pa), through a teaching assistantship.


The candidate should have an upper second class honors BSc (or equivalent, or higher) degree in Computer Science, Statistics, Mathematics or other numerate discipline. Applicants who also demonstrate one or more of the following will be favored:

  • experience with Python programming;
  • experience in applying deep learning algorithms (eg LSTMs, RNNs) using Python;
  • experience with Bayesian inference;
  • a good understanding of probability theory;
  • experience with either R, Maple, or Mathematica.

How to Apply

You are strongly encouraged to discuss your application in advance with Dr. Kizito Salako (email:

Visit our Computer science research degrees web page for further information on making a formal application:

Details on online applications can be found in the How to apply section at the web link above. The application should include the following supporting documents:

  • Research proposal. You do not need to submit a proposal as part of your application. Instead, when submitting your application, submit a text file indicating the title “Conservative Bayesian Assessment of Classifiers used for Malicious Network Activity Detection” and Dr. Kizito Salako as the supervisor. You will automatically be considered for this studentship;
  • Copies of Degree Certificates and Transcripts in official English translation – original will be requested before an offer is made.
  • Official work e-mail addresses (not private ones) for two referees (one of which must be an academic).
  • For Proof of English Language Proficiency either of the following is acceptable:
    • (minimum average score of 6.5 IELTS, with a minimum of 6.0 in each of the four components) if English is not your first language;
    • The award of a university degree, the teaching of which was in English from an English Speaking country.

Further Information:




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