The successful candidate will join King’s College London and work on norm-based methods for controlling hyper-connected, socio-technical, and cyber-physical systems.
Norms express interaction conventions as rules of behaviour that should be complied with but can, nevertheless, be violated. This flexibility is precisely what makes norms better suited for cyberspace than unyielding hard controls, whose regimentation may be infeasible and/or undesirable. The successful candidate will work on the development and evaluation of algorithms to check norm compliance. Most of existing proposals on checking norm compliance assume perfect information and observation capabilities, or that norms are fixed and known at design time. However, this assumption is too strong for modern hyper-connected, socio-technical, and cyber-physical systems due to their inherent uncertainty, incompleteness and dynamism. For example, in a business environment it is: infeasible to observe all files uploaded/downloaded to/from public could services, since employees can perform these actions using non-corporate network/devices; impossible to detect all sensitive information contained in files with complete certainty; and norms controlling access to public cloud services can change as a result of new legislation (e.g., GDPR) or threats.
The successful candidate must be highly motivated and must have:
- A PhD (or be close to completion) in Computer Science.
- Previous experience multi-agent systems.
- Previous experience in conducting computer simulations and experiments.
- A strong academic track record of conducting and disseminating research, adequate to their career stage.
- Excellent communication skills in English (both writing and speaking).
This post will be offered on a fixed-term contract for 6 months.
This is a full-time post.
The selection process will include a panel interview and a presentation.
For an informal discussion, please contact Natalia Criado, email@example.com
To apply, please register with the King’s College London application portal and complete your application online.
Closing date 21 July 2019