International Association for Cryptologic Research

International Association
for Cryptologic Research

All job postings
PhD Student in Cybersecurity
The University of Sheffield, Department of Computer Science
With the emergence of Internet of Things (IoT) applications, people today are living in the era where everything is connected, thus continuously generating, acquiring and processing a huge amount of data.

Users may enjoy a diversity of assisted services, personalised applications and targeted recommendations. However, spread concerns about user’s privacy are arising, mainly due to this massive collection of data.

We are seeking a highly motivated PhD candidate to work in one of the following areas of cybersecurity:

  • Post-quantum privacy enhancing techniques
  • Privacy preserving machine learning/deep learning modelling for IoT personalised applications
  • Privacy preserving computation for distributed learning.

    We look favourably on applicants who can demonstrate a knowledge of cryptography, machines learning, information security and who have strong programming and mathematical skills.

    Within your statement, please make sure to discuss which area of research you are interested in and your academic background to support this. In the first instance candidates can discuss applications with Dr Nesrine Kaaniche via email (n.kaaniche@sheffield.ac.uk).

    Required Qualifications:

    Good first degree in Computer Science If English is not your first language, you must have an IELTS score (or equivalent) of 6.5 overall, with no less than 6.0 in each component.

    Funding Details:

    The studentship will cover tuition fees at the Home/EU rate and provide an annual stipend at the standard RCUK rates for three and a half years. The studentship is available from September 2019

  • Contact: To apply for the studentship, applicants need to apply directly to the University of Sheffield using the online application system. Please name Dr Nesrine Kaaniche as your proposed supervisor.
    Last updated: 2019-08-11 posted on 2019-08-09