The studentship falls under the new EIT Digital Industrial Doctoral Programme in Cyber Security at City, University of London. The studentship consists of a full fee waiver for UK/EU students and a stipend of £18K per year, for four years. As part of their studies and training, the student will spend time at City, University of London, EIT Digital London Co-Location Centre and Connected Places Catapult in London.
In addition, over the 4 years of study, the PhD student will follow the EIT Digital PhD, which is an enrichment programme to develop skills and competences in innovation and entrepreneurship in digital technologies. The programme supports: i) between 3 and 6 months abroad to enrich the student’s research experience; ii) EIT-Digital European training in innovation, entrepreneurship and digital transformation leadership; iii) Business Development Experience. Supplementary budget is available for these activities.
The PhD project, entitled “Cyber-Resilience of Connected and Autonomous Vehicles (CAV)”, is focused on modelling cyber-resilience: i) of individual CAVs and ii) cyber-resilience of the urban infrastructure, deployed to assist individual CAVs improve situational awareness. The work will address the vulnerabilities of machine learning used in CAV and the impact that cyber-attacks may have on the safety of CAV.
More specifically the work will be focused on:
- Building credible probabilistic models, e.g. Stochastic Activity Networks (or similar formalisms), of the individual CAV and the urban infrastructure with focus on modelling the vulnerabilities and the effects of successful attacks on the safety mechanisms deployed in CAV.
- Empirical work with cyber-attacks specific for CAV, e.g. “adversarial examples” on machine learning solutions used in CAVs and attacks on the urban infrastructure, which compromise the CAV’s situational awareness.
- Empirical evaluation of the effectiveness of security controls added to CAV’s architecture to defend or mitigate against cyber-attacks on individual CAVs and the urban infrastructure.
The appointed candidate will have a MSc degree in Computer Science or Mathematics. Candidates with other degrees are also welcome to apply if they can demonstrate competence in cyber-security and in probabilistic modelling (e.g. semi-Markov models, Stochastic Petri nets, and alike). Given the nature of the project, industrial experience will be an advantage.
Applications, consisting of a CV and a Personal Statement, should be submitted to Postgraduate Research Course Officer (email@example.com).
Closing date: 17:00 BST, 12th October 2020.
Interviews are scheduled for the week commencing the 26th October 2020.
The role is available from 1st November 2020.
Salary: 18,000 per year, 4 years plus travel budget.
For further information about the post please contact P.T.Popov@city.ac.uk.