Job Description
This is an exciting opportunity to join CyberASAP Innovate UK project aiming to address Risk Assessment in Transactions under Security Threat.
The financial losses in UK online banking due to fraud annually amount to almost 2 billion pounds. With the losses in online trading due to fake accounts, stolen credentials and information leaks the figure becomes truly astronomical. The design of security solutions requires complex expertise - understanding of the processes within transactional systems under threat, knowledge of potential adversaries and their malicious behaviour, justified choice of suitable tools for detection, neutralization and prevention, and their proper configuration. The need for software for modelling the security infrastructure, estimating the security risks and analyzing the impact of the solutions on security is extremely high due to the complexity of the task and the impossibility of demonstrating the solutions experimentally. this role is for the development of a desktop software application that:
- Model transactions under security threats.
- Design of security architecture and behaviour analysis through simulated transactions
- Calculate the security risks based on parameters of security analytics.
- Determination of the impact of security infrastructure on risks
The ideal candidate for this position is a current/graduated AI/Software Engineering PG student who will assist in the market research, analysis and implementation of software (Reinforcement Learning and Visualization algorithms for solving risk assessment tasks under security threats). strong AI and programming skills are required.
A mixed background that combines knowledge from various areas, such as AI, Machine Learning (ML), data science, and software engineering, as well as a deep understanding of the cyber security domain, is highly advantageous.
QualificationsCurrent (near completion) or Awarded MSc in AI or Cyber Security
SkillsThe ideal candidate for the AI/Software Engineer position is a current/graduated AI/Cyber Security Engineering PG student who will assist in the market research, modelling and implementation of software (Reinforcement Learning and Visualization algorithms for solving risk assessment tasks under security threats). strong AI and programming skills are required.
A mixed background that combines knowledge from various areas, such as AI, Machine Learning (ML), Cyber Security, Software Engineering, as well as a deep understanding of the cyber security domain, is highly advantageous.
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