School of Computing & Mathematical Sciences

Location:  To be confirmed
Salary:  £27,511 to £32,817 plus £3706 London weighting
Contract Type:  Fixed Term
Closing Date:  Tuesday 29 June 2021
Interview Date:  To be confirmed
Reference:  2662-E

We have a position for the Research Fellow 2 to work in the EU HORIZON 2020 project “ENSURESEC: End-to-end Security of the Digital Single Market’s E-commerce and Delivery Service Ecosystem”. ENSURESEC is a sociotechnical solution for safeguarding the Digital Single Market’s e-commerce operations against cyber and physical threats. It combines an automatic, rigorous, distributed and open-source toolkit for protecting the e-commerce infrastructure, with monitoring of the impact of threats in physical space. ENSURESEC addresses the whole gamut of modern e-commerce, from standard physical products purchased online and delivered via post, to entirely virtual products or services delivered online. Similarly, it addresses threats ranging from maliciously modifying web e-commerce applications or rendering them unavailable to legitimate customers, to delivery issues or fraud committed by insiders or customers. It achieves this by focusing on the common software and physical sensor interfaces that sit along the e-commerce, payment and delivery ecosystem. At a technical level, it integrates proven state-of-the-art inductive (machine learning) with deductive (formal methods) reasoning tools and techniques so that e-commerce operations are protected by design, as well as through continuous monitoring, response, recovery and mitigation measures at run-time.

This is an exciting opportunity to participate in a new area of research and in the process collaborate with our prestigious project partners, including key players in software engineering, software verification, blockchain, pen testing, telecommunication, electronic financial services, social media, cyber and physical security of critical infrastructure, to name a few.

Within the project, you will be responsible for support research and development activities of online and offline (i.e., AI-based) run-time security monitoring of e-commerce application. 

You will need to be a competent software developer (preferably in Python and Java) with experience and/or interest in run-time monitoring, AI and Machine Learning, ideally in the context of security monitoring. You will also need to have an interest/experience in software recovery or fault tolerance. An undergraduate or master’s degree in computer science, mathematics or engineering is essential.

Since this post is project based, this is fixed term for five months

Before applying, you may wish to contact Dr. M. Taimoor Khan (m.khan@gre.ac.uk) for informal enquiries.